Question 1

You have a Dataproc cluster that performs batch processing on data stored in Cloud Storage. You need to schedule a daily Spark job to generate a report that will be emailed to stakeholders. You need a fully-managed solution that is easy to implement and minimizes complexity. What should you do?

Options :

A : Use Cloud Composer to orchestrate the Spark job and email the report.

B : Use Dataproc workflow templates to define and schedule the Spark job, and to email the report.

C : Use Cloud Run functions to trigger the Spark job and email the report.

D : Use Cloud Scheduler to trigger the Spark job. and use Cloud Run functions to email the report.

Answer: B

Question 2

Your team is storing sensitive customer data in a Cloud Storage bucket. They want to ensure that only specific users within the organization have access to this data and want to prevent any possibility of the data being made public. Which configuration would best meet this requirement?

Options :

A : Enable 'Fine-grained access control' on the bucket, and then set public read access on the bucket-level permissions.

B : Use 'Uniform bucket-level access' and enable the 'Bucket Policy Only' feature to ensure access control is handled exclusively through IAM.

C : Set the bucket-s permissions to 'Uniform bucket-level access' and assign the necessary IAM roles to specific users only.

D : Configure the bucket with 'Uniform bucket-level access' and enable the 'Public access prevention' feature.

Answer: D

Question 3

A retail company needs to transfer a large volume of historical sales data from an on-premises data warehouse to BigQuery to perform trend analysis and forecasting. They want a managed, automated solution that can schedule regular data transfers and manage any changes in data size over time. Which Google Cloud tool is best suited for this task?

Options :

A : Manual CSV uploads to Cloud Storage

B : Cloud Storage Transfer Service

C : gcloud CLI command

D : BigQuery Data Transfer Service

Answer: D

Question 4

Your marketing team wants a Looker dashboard that shows customer engagement trends over time, including metrics like average session duration, total page views, and click-through rate (CTR) for campaigns. They also want to be able to see specific data for individual campaigns and share their findings easily with other team members. Which of the following would best meet these requirements?

Options :

A : Set up a Looker Explore page with a custom view for each metric and suggest that team members create their own dashboards from there.

B : Add a single tile to the dashboard that shows average session duration, total page views, and CTR in a single view, but disable sharing to keep the data secure.

C : Create individual dashboards for each metric and share each dashboard separately with the marketing team members to give them flexibility.

D : Create a dashboard with separate tiles for each metric and add a “Campaign” filter. Configure the dashboard to allow “Schedule & Share” functionality so the team can share insights.

Answer: D

Question 5

You have a Dataflow pipeline that processes website traffic logs stored in Cloud Storage and writes the processed data to BigQuery. You noticed that the pipeline is failing intermittently. You need to troubleshoot the issue. What should you do?

Options :

A : Use Cloud Logging to identify error groups in the pipeline-s logs. Use Cloud Monitoring to create a dashboard that tracks the number of errors in each group.

B : Use Cloud Logging to create a chart displaying the pipelines error logs. Use Metrics Explorer to validate the findings from the chart.

C : Use Cloud Logging to view error messages in the pipeline-s logs. Use Cloud Monitoring to analyze the pipeline-s metrics, such as CPU utilization and memory usage.

D : Use the Dataflow job monitoring interface to check the pipeline-s status every hour. Use Cloud Profiler to analyze the pipelines metrics, such as CPU utilization and memory usage.

Answer: C

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