Google GCP-DE Exam Questions : Data Engineer

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

Question 1

You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?

A. BigQuery
B. Cloud Datastore
C. Cloud SQL
D. Cloud Bigtable

Question 2

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

Question 3

What are all of the BigQuery operations that Google charges for?

A. Storage, queries, and exporting data
B. Storage, queries, and loading data from a file
C. Storage, queries, and streaming inserts
D. Queries and streaming inserts

Question 4

All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.

A. after
B. before
C. only if
D. once

Question 5

You launched a new gaming app almost three years ago. You have been uploading log files from the previous day to a separate Google BigQuery table with the table name format LOGS_yyyymmdd. You have been using table wildcard functions to generate daily and monthly reports for all time ranges. Recently, you discovered that some queries that cover long date ranges are exceeding the limit of 1,000 tables and failing. How can you resolve this issue?

A. Create separate views to cover each month, and query from these views
B. Convert the sharded tables into a single partitioned table
C. Enable query caching so you can cache data from previous months
D. Convert all daily log tables into date-partitioned tables

Solutions: