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Google Data Engineer Sample Questions:

1. Cloud Dataproc is a managed Apache Hadoop and Apache service.

A) Spark
B) Fire
C) Ignite
D) Blaze

2. When a Cloud Bigtable node fails, is lost.

A) the last transaction
B) the time dimension
C) no data
D) all data

3. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Read and write to Google Cloud Storage; write to Google Cloud Logging
B) Execute to Google Cloud Storage; execute to Google Cloud Logging
C) Write to Google Cloud Storage; read to Google Cloud Logging
D) Execute to Google Cloud Storage; write to Google Cloud Logging

4. You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

A) HiveQL using Hive
B) Python using MapReduce
C) PigLatin using Pig
D) Java using MapReduce

5. Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?

A) Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes
B) Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
C) Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
D) Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

Solutions: