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NEW QUESTION 34
Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?
- A. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
- B. Use Google Stackdriver Audit Logs to review data access.
- C. Get the identity and access management IIAM) policy of each table
- D. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
Answer: A
NEW QUESTION 35
Which action can a Cloud Dataproc Viewer perform?
- A. Delete a cluster.
- B. Create a cluster.
- C. Submit a job.
- D. List the jobs.
Answer: D
Explanation:
A Cloud Dataproc Viewer is limited in its actions based on its role. A viewer can only list clusters, get cluster details, list jobs, get job details, list operations, and get operation details.
Reference:
https://cloud.google.com/dataproc/docs/concepts/iam#iam_roles_and_cloud_dataproc_operations
_summary
NEW QUESTION 36
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 data. Which two actions should you take? (Choose two.)
- A. Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
- B. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
- C. Configure your Cloud Dataflow pipeline to use local execution
- D. Increase the number of nodes in the Cloud Bigtable cluster
- E. Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
Answer: A,B
NEW QUESTION 37
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