Pass Your Exam Easily! 1z0-1091-22 Real Question Answers Updated on Jan 05, 2024
Actual Questions Answers Pass With Real 1z0-1091-22 Exam Dumps
NEW QUESTION # 27
A time-of-use (TOU) template's interval size controls the values allowed as start and end times. A template can be used to generate TOU data for TOU maps whose seconds per interval (SPI) is divisible by the template's SPI.
For what can you use a 60-minute template?
- A. To generate TOU data for 120-minute TOU maps.
- B. To generate TOU data for 120-minute and 1440-minute TOU maps.
- C. To only generate TOU data for 30-minute TOU maps.
- D. To only generate TOU data for minute TOU maps.
- E. To generate TOU data for 6G-, 15-, and 5-minute TOU maps.
Answer: D
Explanation:
Explanation
A time-of-use (TOU) template is used to define the start and end times of TOU periods for different days of the week and seasons of the year. A TOU template has an interval size that controls the values allowed as start and end times. For example, if the interval size is 60 minutes, then the start and end times must be multiples of
60 minutes, such as 00:00, 01:00, 02:00, and so on. A TOU template can be used to generate TOU data for TOU maps whose seconds per interval (SPI) is divisible by the template's SPI. For example, if the template's SPI is 3600 (60 minutes), then it can be used to generate TOU data for TOU maps whose SPI is 3600, 1800 (30 minutes), 1200 (20 minutes), 900 (15 minutes), 600 (10 minutes), 300 (5 minutes), and so on. Therefore, the correct answer is D.
References: Oracle Utilities Meter Solution Cloud Service Business User Guide, Chapter 4: Time-of-Use Data Management, Section 4.1: Time-of-Use Templates
NEW QUESTION # 28
How do you configure the derived values that are relevant for a device?
- A. Configure the derived values on the device type for the derived values to be defined on the device.
- B. Configure the derived values on the measuring component for the measuring components to be defined on the device.
- C. Configure the derived values an the final measurement type for the measuring components to be defined on the device.
- D. Configure the derived values on the measuring component type for the measuring components to be defined on the device.
Answer: D
Explanation:
Explanation
To configure the derived values that are relevant for a device, you should configure them on the measuring component type for the measuring components to be defined on the device. A measuring component type defines the type of measurement that a device can record, such as scalar, interval, or event. A measuring component type can also define the derived values that are calculated from raw measurements based on certain rules or factors. A measuring component is an instance of a measuring component type that is associated with a device.
You do not need to configure the derived values on the final measurement type, which defines how measurements are stored and processed in Oracle Utilities Meter Data Management. Final measurement types do not define derived values.
You do not need to configure the derived values on the device type, which defines the physical characteristics and attributes of a device, such as manufacturer, model, or serial number. Device types do not define derived values.
You do not need to configure the derived values on the measuring component, which is an instance of a measuring component type that is associated with a device. Measuring components inherit derived values from their measuring component types.
NEW QUESTION # 29
When used with the SaaS Cloud services, the Oracle Smart Grid Gateway (SGG) adapters process usage and device event payloads via batch processing. Files are sent from a head-end system (HES) to an Oracle Cloud Object Storage location, where they are batch processed.
Which THREE operations are performed by the SGG processes?
- A. Load reads into Object Storage.
- B. Parse payload into individual usage readings/device events.
- C. Load reads into a file directory.
- D. Invoke IMD/Device Event Seeder (as appropriate).
- E. Transform usage readings into standard (unified) format.
Answer: B,D,E
Explanation:
Explanation
In a SaaS environment, Oracle Utilities Meter Data Management and Smart Grid Gateway are deployed on Oracle Cloud Infrastructure (OCI) and use OCI Object Storage to store files and data. OCI Object Storage is a scalable and secure service that allows users to store and access data from anywhere using REST APIs or web consoles. Smart Grid Gateway adapters process usage and device event payloads via batch processing. Files are sent from a head-end system (HES) to an OCI Object Storage location, where they are batch processed.
According to the Oracle Utilities Smart Grid Gateway User Guide, some operations that are performed by the Smart Grid Gateway processes are:
* Parse payload into individual usage readings/device events. This is an operation that extracts usage readings or device events from the payload file and converts them into individual records.
* Invoke IMD/Device Event Seeder (as appropriate). This is an operation that invokes a web service that sends usage readings or device events to Oracle Utilities Meter Data Management for further processing.
* Transform usage readings into standard (unified) format. This is an operation that converts usage readings from vendor-specific formats into a standard format that can be processed by Oracle Utilities Meter Data Management.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 4: Commands, Section 4.4: Command Configuration; Chapter 5: Device Events; Chapter 6: Usage
NEW QUESTION # 30
Which TWO functions can the service point-measurement cycle relationship of Meter Data Management (MDM) perform?
- A. Create hand-held download read activities.
- B. Create optimal meter reader routes by measurement cycle.
- C. Initiate push of bill determinants ta subscribing systems.
- D. Initiate request of bill determinants from subscribing systems.
Answer: C,D
Explanation:
Explanation
The service point-measurement cycle relationship of Meter Data Management (MDM) can perform the following functions:
* Initiate request of bill determinants from subscribing systems: A subscribing system is an external system or service provider that receives bill determinants from MDM. A bill determinant is a value that is used to calculate a bill for a service point or device. The service point-measurement cycle relationship can initiate a request of bill determinants from subscribing systems based on the measurement cycle schedule. A measurement cycle schedule defines the dates on which devices are scheduled to be read for a given measurement cycle. A measurement cycle defines the schedule for manual meter reading of devices at service points in that cycle.
* Initiate push of bill determinants to subscribing systems: The service point-measurement cycle relationship can also initiate a push of bill determinants to subscribing systems based on the measurement cycle schedule. This means that MDM can send bill determinants to subscribing systems automatically or on demand.
The service point-measurement cycle relationship cannot perform the following functions:
* Create optimal meter reader routes by measurement cycle: A meter reader route is a sequence of service points or devices that are assigned to a meter reader formanual meter reading. A meter reader route is not created by the service point-measurement cycle relationship, but by using other configurations, such as route type or route sequence.
* Create hand-held download read activities: A hand-held download read activity is an activity that downloads measurement data from a hand-held device to MDM. A hand-held download read activity is not created by the service point-measurement cycle relationship, but by using other configurations, such as activity type or activity status.
NEW QUESTION # 31
If a project is setting up meter commands with a head-end system (HES), which TWO components should you configure to support the inbound responses from HES?
- A. Master configurations
- B. Message sender
- C. Outbound message type
- D. Inbound web services
Answer: B,D
Explanation:
Explanation
Smart Grid Gateway (SGG) is a product that provides integration between Oracle Utilities Meter Data Management and various head-end systems that communicate with smart meters. SGG supports inbound and outbound communication between the two systems using web services and message queues. According to the Oracle Utilities Smart Grid Gateway User Guide, if a project is setting up meter commands with a head-end system (HES), two components that should be configured to support the inbound responses from HES are:
* Inbound web services: These are web services that are exposed by SGG to receive messages from HES.
Inbound web services can be used to receive responses from HES for commands that were sent by SGG or other systems.
* Message sender: This is a component that sends messages from SGG to other systems using message queues. Message sender can be used to send responses from HES to Oracle Utilities Meter Data Management or other systems.
References: Oracle Utilities Smart Grid Gateway User Guide, Chapter 2: Architecture Overview; Chapter 3:
Communication; Chapter 4: Commands
NEW QUESTION # 32
The Vector and Service Quantity Math usage rule facilitates the configuration of complex vector calculations.
It is based on a series of underlying services with vectors configured as input to the calculations.
What are THREE typical uses of the usage rule?
- A. Converting interval data to scalar reads
- B. Performing Array math
- C. Finding max values
- D. Finding coincident peaks
- E. Performing math formulas on interval data
Answer: B,D,E
Explanation:
Explanation
The Vector and Service Quantity Math usage rule facilitates the configuration of complex vector calculations.
It is based on a series of underlying services with vectors configured as input to the calculations. Some typical uses of the usage rule are:
* Finding coincident peaks: This is a calculation that finds the highest demand value for each interval across multiple service points or devices.
* Performing Array math: This is a calculation that performs arithmetic operations on arrays of interval data, such as addition, subtraction, multiplication, or division.
* Performing math formulas on interval data: This is a calculation that performs mathematical functions on interval data, such as logarithm, exponentiation, square root, or trigonometry.
Finding max values is not a typical use of the Vector and Service Quantity Math usage rule. Finding max values is a simple calculation that finds the highest demand value for each service point or device.
Converting interval data to scalar reads is not a typical use of the Vector and Service Quantity Math usage rule. Converting interval data to scalar reads is done by using other usage rules, such as Interval Data Scalar Read Rule.
NEW QUESTION # 33
A customer needs to validate high or low tolerances such that exceeding in either direction must not allow the reading to be finalized. In addition, all other validation rules that are configured must be applied to the readings.
Which exception severity should you configure in Validation, Estimation, and Editing (VEE) rules?
- A. Terminate
- B. Critical
- C. Issues
- D. Informational
Answer: B
Explanation:
Explanation
To validate high or low tolerances such that exceeding in either direction must not allow the reading to be finalized, and also apply all other validation rules that are configured, you should configure critical as the exception severity in Validation, Estimation, and Editing (VEE) rules. An exception severity is an attribute that indicates how severe an exception is when a measurement fails a VEE rule. Critical is an exception severity that prevents a measurement from being finalized until it is corrected or overridden by a user.
Issues is not an exception severity that can be configured in VEE rules. Issues is an attribute that indicates if there are any unresolved exceptions or errors for a measurement.
Terminate is not an exception severity that can be configured in VEE rules. Terminate is an action that can be performed by a VEE rule when a measurement fails the rule. Terminate means that the VEE process stops and does not apply any further VEE rules to the measurement.
Informational is not an exception severity that can be configured in VEE rules. Informational is an attribute that indicates if there are any informational messages or warnings for a measurement.
NEW QUESTION # 34
Why would you use an eligibility criteria in usage subscription?
- A. To configure an optional usage group within a usage subscription.
- B. To configure an optional usage calculation rule within a usage calculation group for the usage.
- C. To configure an optional validation group within a usage subscription.
- D. To determine whether a usage subscription generates a usage transaction.
Answer: D
Explanation:
Explanation
A usage subscription is a record that defines how usage data are collected, processed, and exported for a service point or a device. A usage subscription can have various components that specify the logic and parameters for performing various operations on usage data, such as validation, estimation, editing, calculation, or export. According to the Oracle Utilities Meter Data Management Business User Guide, one example of a component that can be configured in a usage subscription is:
* Eligibility criteria: These are rules that determine whether a usage subscription generates a usage transaction or not. A usage transaction is a record that contains usage data that are ready for export to other systems, such as customer information system (CIS) or settlement system. Eligibility criteria can be used to filter out usage subscriptions that do not meet certain conditions or requirements for generating usage transactions.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 8: Usage, Section 8.1:
Usage Subscriptions
NEW QUESTION # 35
A customer is starting an Advanced Meter Infrastructure (AMI) roll-out initiative and they plan to replace their legacy scalar time-of-use (TOU) meters with smart meters. They want customer information system (CIS) to continue to bill for the same TOU periods and they do not want to change the CIS rates.
In which THREE ways can you configure Meter Data Management (MDM) to support this requirement?
- A. Set up the new usage calculation group to be identified dynamically by plug-in logic supplied on the usage subscription's type.
- B. Write a custom algorithm to determine the proper rate.
- C. Add a new usage calculation group with a TOU mapping rule.
- D. Add an extendable lookup value containing the new device configuration type and the new usage calculation group.
- E. Add the TOU mapping rule to the existing usage calculation group.
Answer: A,D,E
Explanation:
Explanation
To support the requirement of replacing legacy scalar time-of-use (TOU) meters with smart meters without changing the CIS rates, you can configure Meter Data Management (MDM) in the following ways:
* Add an extendable lookup value containing the new device configuration type and the new usage calculation group: This is used to map the new device configuration type that is used for smart meters to a new usage calculationgroup that will be used to calculate bill determinants for smart meters. An extendable lookup value is a configurable value that can be used to define business rules or relationships between different objects.
* Add the TOU mapping rule to the existing usage calculation group: This is used to map the TOU periods of smart meters to the TOU periods of legacy meters. A TOU mapping rule is a usage calculation rule that is used to convert interval measurements into scalar measurements based on different TOU periods.
* Set up the new usage calculation group to be identified dynamically by plug-in logic supplied on the usage subscription's type: This is used to determine which usage calculation group will be used for each usage subscription based on certain criteria, such as device configuration type or service point type. A plug-in logic is a custom logic that can be developed by using Groovy scripting language or Java programming language.
You do not need to write a custom algorithm to determine the proper rate, which is a complex logic that can be developed by using Groovy scripting language or Java programming language. The proper rate can be determined by using the existing CIS rates and mapping them to smart meter TOU periods.
You do not need to add a new usage calculation group with a TOU mapping rule, which is a collection of usage calculation rules that are used to calculate bill determinants from measurements. You can add the TOU mapping rule to the existing usage calculation group instead of creating a new one.
NEW QUESTION # 36
A customer is starting an Advanced Meter Infrastructure (AMI) roll-out initiative and plans to use Meter Data Management (MDM). The AMI meters will record the consumption reading every 15 minutes through the day and a single register read at the end of the day. They plan to use this data for billing, load research, and presentment via their customer web portal.
What is the minimum number of measuring component types the customer needs to create in MDM?
- A. A single measuring component type to store the 15-minute interval readings and another measuring component type for the daily scalar register reading.
- B. A single measuring component type to store the 15-minute interval readings along with the daily scalar register reading.
- C. A single measuring component type to store the 15-minute interval readings, and another measuring component type for the daily scalar register reading for each use case purpose, for example: billing, load research, and customer web portal.
- D. A single measuring component type to store AMI data (15-minute interval reading along with the daily scalar register reading) for each case purpose, far example: billing, load research, and customer web portal.
Answer: B
Explanation:
Explanation
The customer needs to create a single measuring component type to store the 15-minute interval readings along with the daily scalar register reading. A measuring component type defines the type of measurement that a device can record, such as scalar, interval, or event. A measuring component type can store multiple measurement types, such as interval and scalar, for different purposes, such as billing, load research, and presentment1.
The customer does not need to create separate measuring component types for each measurement type or each use case purpose. This would result in unnecessary duplication of data and complexity of configuration1.
NEW QUESTION # 37
3. For a Meter Data Management (MDM) implementation, customer information system (CIS) requires the following bill determinants:
* For scalar meters, scalar consumption values will be sent to CIS.
* For interval meters, billed on time-of-use (TOU) rates, consumption values will be provided based on the specific TOU periods, for example: on-peak, off-peak, and shoulder.
Based on these requirements, which TWO usage subscription or usage calculation group configuration options should you set up to allow an implementation to send bill determinants to CIS?
- A. Scalar usage calculation rule with a valid usage group.
- B. TOU usage rule with a valid usage group.
- C. TOU usage group as a fallback VEE group.
- D. Scalar specific group as a fallback Validation, Estimation, and Editing (VEE) group.
Answer: A
Explanation:
Explanation
To allow an implementation to send bill determinants to CIS based on the requirements, you should set up the following usage subscription or usage calculation group configuration options:
* Scalar usage calculation rule with a valid usage group: This defines how scalar consumption values are calculated from measurements and sent to CIS. You can define scalar usage calculation rules for different measurement types and associate them with usage groups. A usage group is a collection of usage calculation rules that are applied to measurements based on certain criteria3.
* TOU usage rule with a valid usage group: This defines how TOU consumption values are calculated from measurements and sent to CIS based on specific TOU periods. You can define TOU usage rules for different measurement types and associate them with usage groups. A usage group is a collection of usage calculation rules that are applied to measurements based on certain criteria3.
You do not need to set up scalar specific group as a fallback VEE group or TOU usage group as a fallback VEE group. A fallback VEE group is used when there is no matching VEE group for a measurement based on its characteristics. A VEE group is a collection of VEE rules that are applied to measurements to validate, estimate, and edit them
NEW QUESTION # 38
Momentary outages are very short-term outages where an outage event is sent and a restoration event is received in less than a few minutes.
Which TWO system components would you configure to ignore momentary outages?
- A. AMI commands
- B. Device events
- C. Activities
- D. Reporting categories
Answer: B,C
Explanation:
Explanation
Momentary outages are very short-term outages where an outage event is sent and a restoration event is received in less than a few minutes. These outages may not requireany action from the utility and may be ignored for reporting or analysis purposes. According to the Oracle Utilities Meter Solution Cloud Service Business User Guide, two system components that can be configured to ignore momentary outages are:
* Device events: These are events that are sent by smart meters to indicate various conditions or situations, such as outages, tampering, or alarms. Device events can be configured with a minimum duration parameter that specifies the minimum time difference between an event start and an event end for the event to be processed. If the event duration is less than the minimum duration, the event is ignored.
* Activities: These are tasks that are created by the system or by users to perform various actions, such as meter reading, installation, or maintenance. Activities can be configured with a momentary outage threshold parameter that specifies the maximum time difference between an outage event and a restoration event for the activity to be created. If the outage duration is less than the momentary outage threshold, no activity is created.
References: Oracle Utilities Meter Solution Cloud Service Business User Guide, Chapter 5: Device Management, Section 5.2: Device Events; Chapter 6: Device Installations, Section 6.4: Activities
NEW QUESTION # 39
Which THREE tasks would you perform when configuring the application to generate service investigative orders for revenue protection?
- A. Set up VEE rules to look for low usage.
- B. Tune the AI engine to look for theft by using theft algorithms.
Configure case management. - C. Configure service task type to look far Validation, Estimation, and Editing (VEE) exceptions, device events, and failed commands.
- D. Import device events related to theft.
Answer: A,C,D
Explanation:
Explanation
To configure the application to generate service investigative orders for revenue protection, you should perform the following tasks:
* Set up VEE rules to look for low usage: VEE rules are used to validate, estimate, and edit measurements based on certain criteria. You can set up VEE rules to look for low usage patterns that may indicate theft or meter malfunction.
* Configure service task type to look for Validation, Estimation, and Editing (VEE) exceptions, device events, and failed commands: Service task types are used todefine the types of work that need to be performed on devices or service points. You can configure service task types to look for VEE exceptions, device events, and failed commands that may indicate theft or meter malfunction. You can also configure service task types to trigger service orders when these conditions are met.
* Import device events related to theft: Device events are occurrences that happen on devices, such as tampering, reverse energy flow, or magnetic interference. You can import device events related to theft from smart meter systems using the Smart Grid Gateway or other integration methods.
You do not need to tune the AI engine to look for theft by using theft algorithms or configure case management. These are features of Oracle Utilities Revenue Protection Cloud Service, which is a separate product from Oracle Utilities Meter Data Management.
NEW QUESTION # 40
Oracle Utilities Meter Data Management (MDM) DataConnect facilitates extraction of data for use in external applications such as energy management systems.
Which TWO can you export in the MDM version of DataConnect?
- A. Device events
- B. Billing determinants
- C. Usage measurement data
- D. Configuration data
- E. Service points and install events
Answer: B,C
Explanation:
Explanation
Oracle Utilities Meter Data Management (MDM) DataConnect is a feature that facilitates extraction of data for use in external applications such as energy management systems. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of data that can be exported in the MDM version of DataConnect are:
* Billing determinants: These are usage data that have been divided into time-of-use periods and applied with factors for billing purposes. Billing determinants can be exported to a billing system or a customer information system for generating bills or invoices.
* Usage measurement data: These are raw or processed interval data that have been recorded by smart meters or other devices. Usage measurement data can be exported to an analytics system or a demand response system for analysis or optimization.
References: Oracle Utilities Meter Data Management Business User Guide, Chapter 9: Communications, Section 9.4: DataConnect
NEW QUESTION # 41
Usage transactions can contain date breaks. What is used to supply date breaks?
- A. Usage subscription BO
- B. Usage subscription type
- C. Deferred monitor calculation algorithm
- D. Requesting system or user input
Answer: D
Explanation:
Explanation
Usage transactions can contain date breaks, which are dates that divide a usage period into sub-periods based on certain criteria or events. Date breaks are used to supply datebreaks for usage transactions. Date breaks are specified by the requesting system or user input when requesting a usage transaction. A requesting system is an external system or service provider that requests bill determinants from MDM. A user input is a manual entry of data by a user.
Usage subscription BO is not used to supply date breaks for usage transactions. A usage subscription BO is a business object that defines the relationship between a service point and a subscribing system.
Usage subscription type is not used to supply date breaks for usage transactions. A usage subscription type is a configuration that defines the properties and rules for a usage subscription.
Deferred monitor calculation algorithm is not used to supply date breaks for usage transactions. A deferred monitor calculation algorithm is a custom logic that can be developed by using Groovy scripting language or Java programming language. A deferred monitor calculation algorithm is used to perform certain calculations or validations on usage transactions after they are created.
NEW QUESTION # 42
A small building with five metered apartments has common areas used by all residents. The common areas are metered separately, and the common usage needs to be spread evenly across residents.
How should you configure the solution to bill each resident accurately?
- A. Use a derivation algorithm to include 20% of the common areas with the apartment accounts.
- B. Set up a virtual meter to include the apartment usage and 20% of the common areas.
- C. Each apartment's usage subscriptions must have two service paints, one for the apartment and one for
20% of the common areas. - D. Calculate the usage for each apartment by using customer information system (CIS).
Answer: B
Explanation:
Explanation
To configure the solution to bill each resident accurately for a small building with five metered apartments and common areas, you should set up a virtual meter to include the apartment usage and 20% of the common areas. A virtual meter is a configuration that defines how measurements from multiple devices or service points are aggregated or disaggregated. A virtual meter can be used to create new measurements from existing ones based on certain rules or factors. By setting up a virtual meter to include the apartment usage and 20% of the common areas, you can ensure that each resident is billed for their own usage and their share of the common usage.
You do not need to set up each apartment's usage subscriptions to have two service points, one for the apartment and one for 20% of the common areas. A usage subscription is a relationship that defines the external system or service provider that will receive the bill determinants, the usage calculation group that will be used to calculate the bill determinants, and the service points that will provide the measurement data for the bill determinants. A usage subscription can have only one service point, not two.
You do not need to calculate the usage for each apartment by using customer information system (CIS), which is an external system that manages customer accounts and billing information. CIS does not calculate usage for each apartment, but receives bill determinants from MDM.
You do not need to use a derivation algorithm to include 20% of the common areas with the apartment accounts, which is a custom logic that can be developed by using Groovy scripting language or Java programming language. A derivation algorithm is not used to create new measurements from existing ones, but to create new measuring components from existing ones.
NEW QUESTION # 43
What are the THREE uses of the Smart Grid Gateway (SGG)?
- A. Connecting to Smart Meter systems
- B. Sharing event information with downstream systems
- C. Communicating directly with meters
- D. Sharing customer information
- E. Sharing outage information with outage management systems
Answer: A,B,E
Explanation:
Explanation
The Smart Grid Gateway (SGG) is a middleware component that provides integration between Oracle Utilities Meter Data Management and smart meter systems. The SGG has three main uses:
* Sharing event information with downstream systems: The SGG can process events from smart meter systems and send them to downstream systems, such as customer information systems (CIS), outage management systems (OMS), ordistribution management systems (DMS). Events are occurrences that happen on devices or networks, such as tampering, low battery, or power outage.
* Connecting to Smart Meter systems: The SGG can communicate with smart meter systems using various protocols and adapters. The SGG can support multiple smart meter systems simultaneously and provide a common interface for Oracle Utilities Meter Data Management.
* Sharing outage information with outage management systems: The SGG can process outage events from smart meter systems and send them to outage management systems for analysis and restoration. Outage events are events that indicate a loss or restoration of power on a device or network.
The SGG does not share customer information or communicate directly with meters. Customer information is managed by Oracle Utilities Customer Cloud Service or Oracle Utilities Customer Care and Billing.
Communication with meters is handled by smart meter systems that connect to the SGG.
NEW QUESTION # 44
Which THREE are best practices for measurement retention?
- A. Use Information Lifecycle Management (ILM) processes to help archive data.
- B. Keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes.
- C. Keep scalar measurements in the customer read tables to stay consistent.
- D. Derive time-of-use (TOU) values with interval data to prevent storing extra data.
- E. Derive demand from interval data to prevent storing extra data.
Answer: A,D,E
Explanation:
Explanation
Some of the best practices for measurement retention are:
* Derive time-of-use (TOU) values with interval data to prevent storing extra data: Time-of-use (TOU) values are scalar values that are calculated from interval data based on different TOU periods. Interval data is measurement data that is recorded at regular intervals, such as every 15 minutes or every hour.
To prevent storing extra data, you can derive TOU values with interval data instead of storing them separately.
* Derive demand from interval data to prevent storing extra data: Demand is a value that indicates the maximum power or load that is consumed or generated during a certain period. Demand can be calculated from interval data by using certain methods, such as block demand or rolling demand. To prevent storing extra data, you can derive demand from interval data instead of storing them separately.
* Use Information Lifecycle Management (ILM) processes to help archive data: Information Lifecycle Management (ILM) processes are features that enable MDM to manage the lifecycle of measurement data based on certain policies or rules. ILM processes can help archive data that is no longer needed or used by moving them to different storage tiers or deleting them.
You do not need to keep scalar measurements in the customer read tables to stay consistent, which are tables that store measurement data that is entered by customers or meter readers. Scalar measurements are measurement data that are recorded at certain events, such as billing cycle end or meter exchange. You can store scalar measurements in different tables based on their source or status.
You do not need to keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes, which are records that store the raw measurement data that is received from smart meter systems or other sources. Final measurements are records that store the measurement data that has been validated, edited, and estimated. You can keep IMD for a shorter period of time than final measurements based on your business needs or requirements.
NEW QUESTION # 45
Which THREE are derived values?
- A. Interval data values created by "intervalizing" a scalar reading by applying a profile to it.
- B. Value with a factor such as line loss applied.
- C. Estimated value if the final measurement is too low or high.
- D. Value converted from one unit of measurement to another.
- E. Comparison of normal versus actual usage.
Answer: A,B,D
Explanation:
Explanation
Derived values are values that are calculated from raw measurements based on certain rules or factors. Derived values can be used for different purposes, such as billing, analysis, or reporting. Some examples of derived values are:
* Value with a factor such as line loss applied: This is a value that is adjusted by applying a factor that accounts for the loss of energy or water during transmission or distribution. For example, a line loss factor can be applied to a meter reading to calculate the actual amount of energy or water that was delivered to a customer.
* Value converted from one unit of measurement to another: This is a value that is converted from one unit of measurement (UOM) to another based on a conversion factor. For example, a volume reading in cubic feet can be converted to a volume reading in gallons by multiplying it by a conversion factor.
* Interval data values created by "intervalizing" a scalar reading by applying a profile to it: This is a value that is created by dividing a scalar reading into smaller time intervals based on a profile that represents the usage pattern of a customer. For example, a daily scalar reading can be intervalized into hourly readings by applying a load profile that reflects the customer's hourly usage.
Estimated value if the final measurement is too low or high is not a derived value, but an estimated value.
Estimated values are values that are generated when raw measurements are missing or invalid based on certain criteria. Estimated values can be based on historical data, statistical methods, or other sources.
Comparison of normal versus actual usage is not a derived value, but an analysis result. Analysis results are values that are calculated by comparing or aggregating measurements or derived values for different purposes, such as revenue protection, load research, or customer engagement.
NEW QUESTION # 46
Which THREE Validation, Estimation, and Editing (VEE) rules are provided by the base Meter Data Management (MDM) product that you can include in a VEE group?
- A. Positive consumption check
- B. Estimate data based on nearby addresses
- C. Interval averaging
- D. High/low check
- E. Negative consumption check
Answer: A,D,E
Explanation:
Explanation
The base Meter Data Management (MDM) product provides several Validation, Estimation, and Editing (VEE) rules that you can include in a VEE group. A VEE group is a collection of VEE rules that are used to validate, estimate, and edit measurements based on certain criteria. Some of the VEE rules that are provided by the base MDM product are:
* Positive consumption check: This is a rule that checks if the consumption value of a measurement is positive. If the consumption value is negative, the rule flags the measurement as invalid and estimates a new value based on historical data or other methods.
* Negative consumption check: This is a rule that checks if the consumption value of a measurement is negative. If the consumption value is positive, the rule flags the measurement as invalid and estimates a new value based on historical data or other methods.
* High/low check: This is a rule that checks if the consumption value of a measurement is within a predefined range. If the consumption value is above or below the range, the rule flags the measurement as invalid and estimates a new value based on historical data or other methods.
Estimate data based on nearby addresses is not a VEE rule that is provided by the base MDM product. This is a custom VEE rule that can be developed by using Groovy scripting language or Java programming language.
Interval averaging is not a VEE rule that is provided by the base MDM product. This is a usage calculation rule that is used to calculate derived values from interval measurements by averaging them over a certain period.
NEW QUESTION # 47
Time-of-use (TOU) maps can be used by various functions in Meter Data Management (MDM). Which of the following is a typical scenario in which TOU maps are applied?
- A. To usage transactions and final measurements for billing and analytical purposes.
- B. To determine the time a user worked an an incorrect measurement.
- C. To map usage data with geospatial applications.
- D. To initial measurement data (IMD) records for creating summarized TOU final measurements.
Answer: A
Explanation:
Explanation
Time-of-use (TOU) maps can be used by various functions in Meter Data Management (MDM). A TOU map is a configuration that defines how interval measurements are converted into scalar measurements based on different TOU periods. A typical scenario in which TOU maps are applied is to usage transactions and final measurements for billing and analytical purposes. A usage transaction is a record that stores the bill determinants and other usage information for a usage subscription. A final measurement is a record that stores the measurement data that has been validated, edited, and estimated. TOU maps can be applied to usage transactions and final measurements to calculate bill determinants or perform analysis based on different TOU periods.
TOU maps are not applied to initial measurement data (IMD) records for creating summarized TOU final measurements. IMD records are records that store the raw measurement data that is received from smart meter systems or other sources. IMD records are not converted into final measurements by using TOU maps, but by using VEE rules.
TOU maps are not used to determine the time a user worked on an incorrect measurement, which is a function that is performed by using audit trails or logs. TOU maps are not used to map usage data with geospatial applications, which is a function that is performed by using location data or coordinates.
NEW QUESTION # 48
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