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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

A) Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.
B) Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
C) Create a cron schedule in Cloud Dataprep.
D) Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.

2. Which of these sources can you not load data into BigQuery from?

A) File upload
B) Google Cloud SQL
C) Google Drive
D) Google Cloud Storage

3. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
B) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
C) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
D) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role

4. You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A) Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.
B) Create an authorized view in BigQuery to restrict access to tables with sensitive data.
C) Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
D) Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
E) Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.

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

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

Solutions: