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Google Data Engineer Sample Questions:

1. You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

A) Monitor the total execution time for a sampling of job
B) Use Cloud Dataflow to run your transformation
C) Use Cloud Dataflow to run your transformation
D) Configure the job to use non-default Compute Engine machine types when needed.
E) Locate the bottleneck and adjust cluster resources.
F) Use Cloud Dataproc to run your transformation
G) Use the diagnose command to generate an operational output archiv
H) Monitor the job system lag with Stackdrive
I) Use Cloud Dataproc to run your transformation
J) Monitor CPU utilization for the cluste
K) Use the default autoscaling setting for worker instances.
L) Resize the number of worker nodes in your cluster via the command line.

2. 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 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
B) 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
C) Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes
D) Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project

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

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

4. What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

A) OutputCriteria
B) Windows
C) Sessions
D) Triggers

5. You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

A) Use the WHERE_PARTITIONTIME pseudo column
B) Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
C) Use the TABLE_DATE_RANGE function
D) Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD

Solutions: