You are developing an ecommerce web application that uses App Engine standard environment and Memorystore for Redis. When a user logs into the app, the application caches the user's information (e.g., session, name, address, preferences), which is stored for quick retrieval during checkout.
While testing your application in a browser, you get a 502 Bad Gateway error. You have determined that the application is not connecting to Memorystore. What is the reason for this error?

• A.You configured your application to use a Serverless VPC Access connector on a different subnet in a different availability zone than your App Engine instance.
• B.The firewall rule allowing a connection between App Engine and Memorystore was removed during an infrastructure update by the DevOps team.
• C.You configured your Serverless VPC Access connector in a different region than your App Engine instance.
• D.Your Memorystore for Redis instance was deployed without a public IP address.

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Your company has a data warehouse that keeps your application information in BigQuery. The BigQuery data warehouse keeps 2 PBs of user data. Recently, your company expanded your user base to include EU users and needs to comply with these requirements:
Your company must be able to delete all user account information upon user request.
All EU user data must be stored in a single region specifically for EU users.
Which two actions should you take? (Choose two.)

• A.Use BigQuery federated queries to query data from Cloud Storage.
• B.Create a dataset in the EU region that will keep information about EU users only.
• C.Create a Cloud Storage bucket in the EU region to store information for EU users only.
• D.Re-upload your data using to a Cloud Dataflow pipeline by filtering your user records out.
• E.Use DML statements in BigQuery to update/delete user records based on their requests.

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Which of the following are required to setup iTunes backup with an iPhone 8? (Choose two.)

• A.Encrypted volume on Mac or PC
• B.Lightning to USB Cable
• C.iCloud account
• D.Computer compatible with iTunes
• E.iTunes Store account

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Your analytics system executes queries against a BigQuery dataset. The SQL query is executed in batch and passes the contents of a SQL file to the BigQuery CLI. Then it redirects the BigQuery CLI output to another process. However, you are getting a permission error from the BigQuery CLI when the queries are executed. You want to resolve the issue. What should you do?

• A.Grant the service account BigQuery Data Viewer and BigQuery Job User roles.
• B.Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.
• C.Create a new dataset in BigQuery, and copy the source table to the new dataset Query the new dataset and table from the CLI.
• D.Create a view in BigQuery from the SQL query and SELECT* from the view in the CLI.

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Your company stores their source code in a Cloud Source Repositories repository. Your company wants to build and test their code on each source code commit to the repository and requires a solution that is managed and has minimal operations overhead.
Which method should they use?

• A.Use Cloud Build with a trigger configured for each source code commit.
• B.Use Jenkins deployed via the Google Cloud Platform Marketplace, configured to watch for source code commits.
• C.Use a Compute Engine virtual machine instance with an open source continuous integration tool, configured to watch for source code commits.
• D.Use a source code commit trigger to push a message to a Cloud Pub/Sub topic that triggers an App Engine service to build the source code.

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