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NEW QUESTION 28
Your company processes high volumes of IoT data that are time-stamped. The total data volume can be several petabytes. The data needs to be written and changed at a high speed. You want to use the most performant storage option for your data. Which product should you use?

A. BigQueryB. Cloud BigtableC. Cloud DatastoreD. Cloud Storage

Answer: B

Explanation:
A is not correct because Cloud Datastore is not the most performant product for frequent writes or timestamp-based queries.
B is not correct because Cloud Storage stores blobs, which cannot be queried.
C is correct because Cloud Bigtable is the most performant storage option to work with IoT and time series data.
D is not correct because although it can store the data, BigQuery is very slow at changing data.
https://cloud.google.com/bigtable/docs/schema-design-time-series

 

NEW QUESTION 29
You are performing a monthly security check of your Google Cloud environment and want to know who has access to view data stored in your Google Cloud Project. What should you do?

A. Review the IAM permissions for any role that allows for data access. Most VotedB. Create a Data Loss Prevention job.C. Review the Identity-Aware Proxy settings for each resource.D. Enable Audit Logs for all APIs that are related to data storage.

Answer: A

Explanation:
https://cloud.google.com/logging/docs/audit

 

NEW QUESTION 30
A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs.
You want to minimize cost. What should you do?

A. Create a VerticalPodAutscaler for those workloads.B. Create a node pool with preemptible VMs and GPUs attached to those VMs.C. Enable node auto-provisioning on the GKE cluster.D. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.

Answer: D

Explanation:
If you need something for long-running, non-restartable jobs you don't use preemptible VMs.

 

NEW QUESTION 31
Your company publishes large files on an Apache web server that runs on a Compute Engine instance. The Apache web server is not the only application running in the project. You want to receive an email when the egress network costs for the server exceed 100 dollars for the current month as measured by Google Cloud Platform (GCP). What should you do?

A. Export the billing data to BigQuery. Create a Cloud Function that uses BigQuery to sum the egress network costs of the exported billing data for the Apache web server for the current month and sends an email if it is over 100 dollars. Schedule the Cloud Function using Cloud Scheduler to run hourly.B. Set up a budget alert on the billing account with an amount of 100 dollars, a threshold of 100%, and notification type of "email."C. Set up a budget alert on the project with an amount of 100 dollars, a threshold of 100%, and notification type of "email."D. Use the Stackdriver Logging Agent to export the Apache web server logs to Stackdriver Logging. Create a Cloud Function that uses BigQuery to parse the HTTP response log data in Stackdriver for the current month and sends an email if the size of all HTTP responses, multiplied by current GCP egress prices, totals over 100 dollars. Schedule the Cloud Function using Cloud Scheduler to run hourly.

Answer: D

 

NEW QUESTION 32
You are monitoring an application and receive user feedback that a specific error is spiking. You notice that the error is caused by a Service Account having insufficient permissions. You are able to solve the problem but want to be notified if the problem recurs. What should you do?

A. Create a custom log-based metric for the specific error to be used in an Alerting Policy.B. In the Log Viewer, filter the logs on severity 'Error' and the name of the Service Account.C. Create a sink to BigQuery to export all the logs. Create a Data Studio dashboard on the exported logs.D. Grant Project Owner access to the Service Account.

Answer: B

Explanation:
Explanation/Reference: https://cloud.google.com/logging/docs/view/advanced-queries

 

NEW QUESTION 33
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