Free Access Google.Professional-Data-Engineer.v2024-02-15.q202 Practice Test (Page 26)

Question 121

For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?

A.Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.

B.Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.

C.Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.

D.Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.

Question 122

Government regulations in the banking industry mandate the protection of client's personally identifiable information (PII). Your company requires PII to be access controlled encrypted and compliant with major data protection standards In addition to using Cloud Data Loss Prevention (Cloud DIP) you want to follow Google-recommended practices and use service accounts to control access to PII. What should you do?

A.Use Cloud Storage to comply with major data protection standards. Use one service account shared by all users

B.Assign the required identity and Access Management (IAM) roles to every employee, and create a single service account to access protect resources

C.Use Cloud Storage to comply with major data protection standards. Use multiple service accounts attached to IAM groups to grant the appropriate access to each group

D.Use one service account to access a Cloud SQL database and use separate service accounts for each human user

Question 123

Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. They also want to be able to persist data beyond the life of the cluster. What should you do?

A.Create a Hadoop cluster on Google Compute Engine that uses Local SSD disks.

B.Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.

C.Create a Hadoop cluster on Google Compute Engine that uses persistent disks.

D.Create a Google Cloud Dataflow job to process the data.

E.Create a Google Cloud Dataproc cluster that uses persistent disks for HDFS.

Question 124

You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

A.Create an API using App Engine to receive and send messages to the applications

B.Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them

C.Create a table on Cloud SQL, and insert and delete rows with the job information

D.Create a table on Cloud Spanner, and insert and delete rows with the job information

Question 125

Cloud Bigtable is a recommended option for storing very large amounts of
____________________________?

A.multi-keyed data with very high latency

B.multi-keyed data with very low latency

C.single-keyed data with very low latency

D.single-keyed data with very high latency

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Question 121

Question 122

Question 123

Question 124

Question 125

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