Google Data Engineer - GCP-DE certification

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

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

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

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

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

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

4. Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

A) A stock symbol followed by a timestamp
B) A non-sequential numeric ID
C) A sequential numeric ID
D) A timestamp followed by a stock symbol

5. You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

A) Cloud Scheduler
B) cron
C) Workflow Templates on Cloud Dataproc
D) Cloud Composer

Solutions: