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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

Question 1

You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?

A. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to BigQuer
B. Use Cloud Scheduler to run a script every hour that counts the number of rows created in Cloud Bigtable in the last hour
C. Use Cloud Scheduler to run a script every five minutes that counts the number of rows created in BigQuery in the last hour
D. Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
E. Consume the stream of data in Cloud Dataflow using Kafka I
F. Set a sliding time window of 1 hour every 5 minute
G. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to Cloud Bigtabl
H. Consume the stream of data in Cloud Dataflow using Kafka I
I. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
J. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
K. If that number falls below 4000, send an alert.
L. If that number falls below 4000, send an alert.
M. Set a fixed time window of 1 hour.Compute the average when the window closes, and send an alert if the average is less than 4000 messages.

Question 2

You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name Passing Certification Exams Made Easy visit - https://www.2PassEasy.com from the data source and then write to an output PCollection.
Tom,555 X street Tim,553 Y street Sam, 111 Z street
Which operation is best suited for the above data processing requirement?

A. ParDo
B. Data extraction
C. Source API
D. Sink API

Question 3

You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

A. PCollection
B. Pipeline
C. Sink API
D. Transform

Question 4

You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. Which two actions should you take? (Choose two.)

A. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
B. Increase the number of nodes in the Cloud Bigtable cluster
C. Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
D. Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
E. Configure your Cloud Dataflow pipeline to use local execution

Question 5

Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?

A. Add ", UNNEST(person)" before the WHERE clause.
B. Change "person" to "city.person".
C. Change "person" to "person.city".
D. Add ", UNNEST(city)" before the WHERE clause.

Solutions: