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Questions # 1:

For this question, refer to the Mountkirk Games case study.

Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?

Options:

A.

Tests should scale well beyond the prior approaches.

B.

Unit tests are no longer required, only end-to-end tests.

C.

Tests should be applied after the release is in the production environment.

D.

Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.

Questions # 2:

For this question, refer to the Mountkirk Games case study.

Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

Options:

A.

Verify that the database is online.

B.

Verify that the project quota hasn't been exceeded.

C.

Verify that the new feature code did not introduce any performance bugs.

D.

Verify that the load-testing team is not running their tool against production.

Questions # 3:

For this question, refer to the Mountkirk Games case study.

Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?

Options:

A.

Container Engine, Cloud Pub/Sub, and Cloud SQL

B.

Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery

C.

Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow

D.

Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow

E.

Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

Questions # 4:

For this question, refer to the Mountkirk Games case study.

Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:

• Services are deployed redundantly across multiple regions in the US and Europe.

• Only frontend services are exposed on the public internet.

• They can provide a single frontend IP for their fleet of services.

• Deployment artifacts are immutable.

Which set of products should they use?

Options:

A.

Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine

B.

Google Cloud Storage, Google App Engine, Google Network Load Balancer

C.

Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer

D.

Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

Questions # 5:

For this question, refer to the Mountkirk Games case study

Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.

What should you do to isolate development environments from staging and production?

Options:

A.

Create a project for development and test and another for staging and production.

B.

Create a network for development and test and another for staging and production.

C.

Create one subnetwork for development and another for staging and production.

D.

Create one project for development, a second for staging and a third for production.

Questions # 6:

For this question, refer to the Mountkirk Games case study.

Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process?

Options:

A.

Create a scalable environment in GCP for simulating production load.

B.

Use the existing infrastructure to test the GCP-based backend at scale.

C.

Build stress tests into each component of your application using resources internal to GCP to simulate load.

D.

Create a set of static environments in GCP to test different levels of load — for example, high, medium, and low.

Questions # 7:

For this question, refer to the Helicopter Racing League (HRL) case study. Recently HRL started a new regional

racing league in Cape Town, South Africa. In an effort to give customers in Cape Town a better user

experience, HRL has partnered with the Content Delivery Network provider, Fastly. HRL needs to allow traffic

coming from all of the Fastly IP address ranges into their Virtual Private Cloud network (VPC network). You are

a member of the HRL security team and you need to configure the update that will allow only the Fastly IP

address ranges through the External HTTP(S) load balancer. Which command should you use?

Options:

A.

Apply a Cloud Armor security policy to external load balancers using a named IP list for Fastly.

B.

Apply a Cloud Armor security policy to external load balancers using the IP addresses that Fastly has published. C. Apply a VPC firewall rule on port 443 for Fastly IP address ranges.

C.

Apply a VPC firewall rule on port 443 for network resources tagged with scurceiplisr-fasrly.

Questions # 8:

For this question, refer to the Helicopter Racing League (HRL) case study. The HRL development team

releases a new version of their predictive capability application every Tuesday evening at 3 a.m. UTC to a

repository. The security team at HRL has developed an in-house penetration test Cloud Function called Airwolf.

The security team wants to run Airwolf against the predictive capability application as soon as it is released

every Tuesday. You need to set up Airwolf to run at the recurring weekly cadence. What should you do?

Options:

A.

Set up Cloud Tasks and a Cloud Storage bucket that triggers a Cloud Function.

B.

Set up a Cloud Logging sink and a Cloud Storage bucket that triggers a Cloud Function.

C.

Configure the deployment job to notify a Pub/Sub queue that triggers a Cloud Function.

D.

Set up Identity and Access Management (IAM) and Confidential Computing to trigger a Cloud Function.

Questions # 9:

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction

accuracy from their ML prediction models. They want you to use Google’s AI Platform so HRL can understand

and interpret the predictions. What should you do?

Options:

A.

Use Explainable AI.

B.

Use Vision AI.

C.

Use Google Cloud’s operations suite.

D.

Use Jupyter Notebooks.

Questions # 10:

For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.

What should you do?

Options:

A.

Use Stackdriver Trace to create a trace list analysis.

B.

Use Stackdriver Monitoring to create a dashboard on the project’s activity.

C.

Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.

D.

Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.

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