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Google Data Engineer Sample Questions:

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

2. Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A) Hive
B) Pig
C) Spark
D) YARN

3. You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?

A) In the event of an emergency, use the backup copy of the table.
B) In the event of an emergency, use the backup copy of the table.
C) Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
D) Set the BigQuery dataset to be multi-regional
E) Set the BigQuery dataset to be regiona
F) In the event of an emergency, use a point-in-time snapshot to recover the data.
G) Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
H) Set the BigQuery dataset to be multi-regional
I) Set the BigQuery dataset to be regiona
J) In the event of an emergency, use a point-in-time snapshot to recover the data.

4. You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?

A) Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.
B) Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
C) Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.
D) Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.

5. Which of the following is NOT one of the three main types of triggers that Dataflow supports?

A) Trigger based on element count
B) Trigger based on element size in bytes
C) Trigger that is a combination of other triggers
D) Trigger based on time

Solutions: