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Google Updated Professional-Data-Engineer Exam Questions and Answers by josh

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Google Professional-Data-Engineer Exam Overview :

Exam Name: Google Professional Data Engineer Exam
Exam Code: Professional-Data-Engineer Dumps
Vendor: Google Certification: Google Cloud Certified
Questions: 372 Q&A's Shared By: josh
Question 12

You are testing a Dataflow pipeline to ingest and transform text files. The files are compressed gzip, errors are written to a dead-letter queue, and you are using Sidelnputs to join data You noticed that the pipeline is taking longer to complete than expected, what should you do to expedite the Dataflow job?

Options:

A.

Switch to compressed Avro files

B.

Reduce the batch size

C.

Retry records that throw an error

D.

Use CoGroupByKey instead of the Sidelnput

Discussion
Anaya
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Question 13

You issue a new batch job to Dataflow. The job starts successfully, processes a few elements, and then suddenly fails and shuts down. You navigate to the Dataflow monitoring interface where you find errors related to a particular DoFn in your pipeline. What is the most likely cause of the errors?

Options:

A.

Exceptions in worker code

B.

Job validation

C.

Graph or pipeline construction

D.

Insufficient permissions

Discussion
Question 14

You are deploying MariaDB SQL databases on GCE VM Instances and need to configure monitoring and alerting. You want to collect metrics including network connections, disk IO and replication status from MariaDB with minimal development effort and use StackDriver for dashboards and alerts.

What should you do?

Options:

A.

Install the OpenCensus Agent and create a custom metric collection application with a StackDriver exporter.

B.

Place the MariaDB instances in an Instance Group with a Health Check.

C.

Install the StackDriver Logging Agent and configure fluentd in_tail plugin to read MariaDB logs.

D.

Install the StackDriver Agent and configure the MySQL plugin.

Discussion
Question 15

You have several Spark jobs that run on a Cloud Dataproc cluster on a schedule. Some of the jobs run in sequence, and some of the jobs run concurrently. You need to automate this process. What should you do?

Options:

A.

Create a Cloud Dataproc Workflow Template

B.

Create an initialization action to execute the jobs

C.

Create a Directed Acyclic Graph in Cloud Composer

D.

Create a Bash script that uses the Cloud SDK to create a cluster, execute jobs, and then tear down the cluster

Discussion
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