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The Google Professional-Cloud-Architect Exam measures the candidate's ability to design and plan a cloud solution architecture, manage and provision the cloud infrastructure, optimize the solution for reliability, performance, and cost-effectiveness, and ensure the security and compliance of the cloud environment. It also tests the candidate's knowledge of GCP services such as Compute Engine, Kubernetes Engine, App Engine, Cloud Storage, Cloud SQL, BigQuery, and Dataflow. Google Certified Professional - Cloud Architect (GCP) certification is suitable for cloud architects, solution architects, cloud consultants, and IT professionals who are responsible for designing and implementing cloud solutions using GCP.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q174-Q179):

NEW QUESTION # 174
Dress4Win has end-to-end tests covering 100% of their endpoints.
They want to ensure that the move to the cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?

A. They should enable Google Stackdriver Debugger on the application code to show errors in the code.
B. They should add canary tests so developers can measure how much of an impact the new release
causes to latency.
C. They should run the end-to-end tests in the cloud staging environment to determine if the code is
working as intended.
D. They should add additional unit tests and production scale load tests on their cloud staging
environment.

Answer: D

NEW QUESTION # 175
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases. What should you do?

A. Instrument your application with Stackdnver Trace in order to break down the request latencies at each microservice.
B. Send custom metrics for each of your requests to Stackdriver Monitoring.
C. Set timeouts on your application so that you can fail requests faster.
D. Use Stackdriver Monitoring to look for insights that show when your API latencies are high.

Answer: A

NEW QUESTION # 176
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 tags to each tier and set up firewall rules to allow the desired traffic flow.
B. Add tags to each tier and set up routes to allow the desired traffic flow.
C. Add each tier to a different subnetwork.
D. Set up software based firewalls on individual VMs.

Answer: A

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.
Reference:
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/

NEW QUESTION # 177
Your development team has created a structured API to retrieve vehicle data. They want to allow third
parties to develop tools for dealerships that use this vehicle event data. You want to support delegated
authorization against this data.
What should you do?

A. Build or leverage an OAuth-compatible access control system
B. Restrict data access based on the source IP address of the partner systems
C. Create secondary credentials for each dealer that can be given to the trusted third party
D. Build SAML 2.0 SSO compatibility into your authentication system

Answer: A

Explanation:
Explanation/Reference:
Explanation:
Delegate application authorization with OAuth2
Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that
are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-
legged OAuth.
References: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-
organizations#delegate_application_authorization_with_oauth2
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps

NEW QUESTION # 178
You are managing several internal applications that are deployed on Compute Engine. Business users inform you that an application has become very slow over the past few days. You want to find the underlying cause in order to solve the problem. What should you do first?

A. Change the Compute Engine Instances behind the application to a machine type with more CPU and memory.
B. Deploy the applications on a managed instance group with autoscaling enabled. Add a load balancer in front of the managed instance group, and have the users connect to the IP of the load balancer.
C. Inspect the logs and metrics from the instances in Cloud Logging and Cloud Monitoring.
D. Restore a backup of the application database from a time before the application became slow.

Answer: C

Explanation:
Explanation
When an application becomes slow, the first step you should take is to gather information about the underlying cause of the problem. One way to do this is by inspecting the logs and metrics from the instances where the application is deployed. Google Cloud Platform (GCP) provides tools such as Cloud Logging and Cloud Monitoring that can help you to collect and analyze this information. By reviewing the logs and metrics from the instances, you may be able to identify issues such as resource shortages (e.g. CPU, memory, or disk), network problems, or application errors that are causing the performance issues. Once you have identified the underlying cause of the problem, you can take steps to resolve it.

NEW QUESTION # 179
......

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