Free Access Google.Professional-Cloud-Architect.v2022-04-27.q264 Practice Test (Page 28)

Question 131

For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to
BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an
automated daily basis while managing cost.
What should you do?

A.Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud
Function from a Compute Engine instance.

B.Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the
data.

C.Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save
the result to a new table.

D.Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a
Cloud Dataflow pipeline.

Question 132

For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

A.Create a cron script using gsutil to copy the files to a Coldline Storage bucket.

B.Create a cron script using gsutil to copy the files to a Regional Storage bucket.

C.Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.

D.Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.

Question 133

The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?

A.Batch every 10,000 events with a single manifest file for metadata.
Compress event files and manifest file into a single archive file.
Name files using serverName-EventSequence.
Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket.

B.Append metadata to file body.
Compress individual files.
Name files with a random prefix pattern.
Save files to one bucket

C.Compress individual files.
Name files with serverName-EventSequence.
Save files to one bucket
Set custom metadata headers for each object after saving.

D.Append metadata to file body.
Compress individual files.
Name files with serverName-Timestamp.
Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
Otherwise, save files to existing bucket

Question 134

For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

A.Google Kubernetes Engine with an SSL Ingress

B.Cloud IoT Core with public/private key pairs

C.Compute Engine with project-wide SSH keys

D.Compute Engine with specific SSH keys

Question 135

The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD persistent disk. What should they change to get better performance from this system?

A.Dynamically resize the SSD persistent disk to 500 GB.

B.Modify all of their batch jobs to use bulk inserts into the database.

C.Increase the virtual machine's memory to 64 GB.

D.Migrate their performance metrics warehouse to BigQuery.

E.Create a new virtual machine running PostgreSQL.

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