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Google Professional-Cloud-Architect Certification Exam is a highly sought-after accreditation that validates the skills and expertise of cloud architects in designing, developing, and managing Google Cloud Platform solutions. Google Certified Professional - Cloud Architect (GCP) certification is designed to test a candidate's ability to design and develop solutions that are secure, scalable, and highly available, and can help organizations meet their business objectives.

Google Professional-Cloud-Architect certification is a valuable certification for professionals who are responsible for designing, developing, and managing solutions using Google Cloud technologies. Google Certified Professional - Cloud Architect (GCP) certification validates the skills of an individual in designing solutions that are highly available, scalable, and secure. Google Certified Professional - Cloud Architect (GCP) certification is highly valued in the industry and is recognized by many organizations as a standard for cloud architects.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q22-Q27):

NEW QUESTION # 22
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. Install the bq component for gccloud with the command gcloud components install bq.
B. Create a new service account with BigQuery access and execute your script with that user
C. Run your script on a new virtual machine with the BigQuery access scope enabled
D. Install the latest BigQuery API client library for Python

Answer: D

Explanation:
https://cloud.google.com/bigquery/docs/python-client-migration

NEW QUESTION # 23
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier.
How should you configure the network?

A. Add each tier to a different subnetwork.
B. Set up software based firewalls on individual VMs.
C. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
D. Add tags to each tier and set up routes to allow the desired traffic flow.

Answer: C

Explanation:
Explanation
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/ Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
References: https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/

NEW QUESTION # 24
Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the data. Users should be able to query the datasets, but not edit them.
How should you configure users' access roles?

A. Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.
B. Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery user on the projects that contain the data.
C. Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery dataViewer on the projects that contain the data.
D. Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery jobUser on the projects that contain the data.

Answer: A

Explanation:
https://cloud.google.com/bigquery/docs/running-queries
JobUser allow to run query while BigQuery DataViewer only READ ONLY

NEW QUESTION # 25
Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible. Which cloud infrastructure should you recommend?

A. Google App Engine with Google Stackdriver for logging
B. Google Compute Engine managed instance groups with auto-scaling
C. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
D. Google Compute Engine unmanaged instance groups and Network Load Balancer

Answer: C

NEW QUESTION # 26
Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?

A. Google Cloud VPN connected to the data center network
B. A NAT and TLS translation gateway installed on-premises
C. A Google Compute Engine instance with a VPN server installed connected to the data center network
D. Google Cloud Dedicated Interconnect

Answer: D

Explanation:
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations Google Cloud Dedicated Interconnect provides direct physical connections and RFC 1918 communication between your on-premises network and Google's network. Dedicated Interconnect enables you to transfer large amounts of data between networks, which can be more cost effective than purchasing additional bandwidth over the public Internet or using VPN tunnels.
Benefits:
Traffic between your on-premises network and your VPC network doesn't traverse the public Internet. Traffic traverses a dedicated connection with fewer hops, meaning there are less points of failure where traffic might get dropped or disrupted.
Your VPC network's internal (RFC 1918) IP addresses are directly accessible from your on-premises network. You don't need to use a NAT device or VPN tunnel to reach internal IP addresses. Currently, you can only reach internal IP addresses over a dedicated connection. To reach Google external IP addresses, you must use a separate connection.
You can scale your connection to Google based on your needs. Connection capacity is delivered over one or more 10 Gbps Ethernet connections, with a maximum of eight connections (80 Gbps total per interconnect).
The cost of egress traffic from your VPC network to your on-premises network is reduced. A dedicated connection is generally the least expensive method if you have a high-volume of traffic to and from Google's network.
References: https://cloud.google.com/interconnect/docs/details/dedicated

NEW QUESTION # 27
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Google certification Professional-Cloud-Architect best exam questions and answers

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q22-Q27):

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