Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?

• A.Load data into Google BigQuery.
• B.Insert data into Google Cloud SQL.
• C.Put flat files into Google Cloud Storage.
• D.Stream data into Google Cloud Datastore.

Comment: *

Name: *

Email: *

Verification: *

For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

• A.Google Cloud Storage Coldline to store the data, and gsutil to access the data.
• B.Google Cloud Storage Nearline to store the data, and gsutil to access the data.
• C.Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
• D.BigQuery to store the data, and a web server cluster in a managed instance group to access the data.
  Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.

Comment: *

Name: *

Email: *

Verification: *

You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?

• A.Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.
• B.Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.
• C.Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.
• D.Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.

Comment: *

Name: *

Email: *

Verification: *

You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted. What should you do?

• A.Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url
• B.Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
• C.Create a shutdown script and use it as the value for a new metadata entry with the key shutdown-script in the Cloud Platform Console when you create the new virtual machine instance.
• D.Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.

Comment: *

Name: *

Email: *

Verification: *

Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings.
Which approach should you use?

• A.Grant the security team access to the logs in each Project
• B.Configure Stackdriver Monitoring for all Projects, and export to BigQuery
• C.Configure Stackdriver Monitoring for all Projects with the default retention policies
• D.Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage

Comment: *

Name: *

Email: *

Verification: *