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NEW QUESTION 34
You want to create a private connection between your instances on Compute Engine and your on- premises data center. You require a connection of at least 20 Gbps. You want to follow Google- recommended practices. How should you set up the connection?

• A. Create a VPC and connect it to your on-premises data center using a single Cloud VPN.
• B. Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises datacenter using a single Cloud VPN.
• C. Create a VPC and connect it to your on-premises data center using Dedicated Interconnect.
• D. Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises data center using Dedicated Interconnect.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/instances/connecting-advanced

NEW QUESTION 35
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.

• A. Use `bq show' to list all jobs. Per job, use `bq Is' to list job information and get the required information.
• B. In the BigQuery interface, execute a query on the JOBS table to get the required information.
• C. Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.
• D. Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the required information.

Answer: D

Explanation:
https://cloud.google.com/bigquery/docs/access-control

NEW QUESTION 36
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?

• A. Create a new service account with BigQuery access and execute your script with that user
• B. Run your script on a new virtual machine with the BigQuery access scope enabled
• C. Install the bq component for gccloud with the command gcloud components install bq.
• D. Install the latest BigQuery API client library for Python

Answer: B

Explanation:
Explanation
The error is most like caused by the access scope issue. When create new instance, you have the default Compute engine default service account but most serves access including BigQuery is not enable. Create an instance Most access are not enabled by default You have default service account but don't have the permission (scope) you can stop the instance, edit, change scope and restart it to enable the scope access. Of course, if you Run your script on a new virtual machine with the BigQuery access scope enabled, it also works
https://cloud.google.com/compute/docs/access/service-accounts

NEW QUESTION 37
You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed. You want to make sure all your on-premises systems remain reachable during this period. How should you organize your networking in Google Cloud?

• A. Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a secondary range that does not overlap with the range you use on-premises
• B. Use an IP range on Google Cloud that does not overlap with the range you use on-premises
• C. Use the same IP range on Google Cloud as you use on-premises
• D. Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your primary IP range and use a secondary range with the same IP range as you use on- premises

Answer: D

NEW QUESTION 38
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