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Google Professional Cloud Architect Practice Test - Questions Answers, Page 8

Question list

List of questions

Question 71

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One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long. You want to

Question 72

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Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the f

Question 73

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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 t

Question 74

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During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future. What should you do?

Question 75

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Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?

Question 76

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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. Replic

Question 77

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Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and exped

Question 78

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You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely.

Question 79

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A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption o

Question 80

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A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:

Related questions

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?

Your company has a Google Cloud project that uses BigQuery for data warehousing on a pay-per-use basis. You want to monitor queries in real time to discover the most costly queries and which users spend the most. What should you do?

Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game programmatic access to a legacy game's Firestore database. Access should be as restricted as possible. What should you do?

Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process. What should you do?

For this question, refer to the TerramEarth case study. You start to build a new application that uses a few Cloud Functions for the backend. One use case requires a Cloud Function func_display to invoke another Cloud Function func_query. You want func_query only to accept invocations from func_display. You also want to follow Google's recommended best practices. What should you do?

Your company has an application running as a Deployment in a Google Kubernetes Engine (GKE) cluster When releasing new versions of the application via a rolling deployment, the team has been causing outages The root cause of the outages is misconfigurations with parameters that are only used in production You want to put preventive measures for this in the platform to prevent outages What should you do?

A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:

Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99,99% availability SLA under these conditions. However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?

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?

Question 71

One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.

Which two actions should you take? Choose 2 answers.

Remove Python after running pip

Remove dependencies from requirements.txt

Use a slimmed-down base image like Alpine Linux

Use larger machine types for your Google Container Engine node pools

Copy the source after he package dependencies (Python and pip) are installed

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Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future.

What should you do?

Deploy fewer changes to production

Deploy smaller changes to production

Increase the load on your test and staging environments

Deploy changes to a small subset of users before rolling out to production

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Question 73

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?

Set timeouts on your application so that you can fail requests faster

Send custom metrics for each of your requests to Stackdriver Monitoring

Use Stackdriver Monitoring to look for insights that show when your API latencies are high

Instrument your application with Stackdriver Trace in order to break down the request latencies at each microservice

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Question 74

During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future.

What should you do?

Use a different database

Choose larger instances for your database

Create snapshots of your database more regularly

Implement routinely scheduled failovers of your databases

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Question 75

Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings.

Which approach should you use?

Grant the security team access to the logs in each Project

Configure Stackdriver Monitoring for all Projects, and export to BigQuery

Configure Stackdriver Monitoring for all Projects with the default retention policies

Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage

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Question 76

Which networking approach should you use?

Google Cloud Dedicated Interconnect

Google Cloud VPN connected to the data center network

A NAT and TLS translation gateway installed on-premises

A Google Compute Engine instance with a VPN server installed connected to the data center network

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Question 77

What should you do?

Create custom Google Stackdriver alerts and send them to the auditor

Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor

Use cloud functions to transfer log entries to Google Cloud SQL and use ACLs and views to limit an auditor's view

Enable Google Cloud Storage (GCS) log export to audit logs into a GCS bucket and delegate access to the bucket

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Question 78

You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely.

Where should you store the credentials?

In the source code

In an environment variable

In a secret management system

In a config file that has restricted access through ACLs

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Question 79

A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager.

What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers.

Cloud Deployment Manager uses Python

Cloud Deployment Manager APIs could be deprecated in the future

Cloud Deployment Manager is unfamiliar to the company's engineers

Cloud Deployment Manager requires a Google APIs service account to run

Cloud Deployment Manager can be used to permanently delete cloud resources

Cloud Deployment Manager only supports automation of Google Cloud resources

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Question 80

A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:

Be based on open-source technology for cloud portability

Dynamically scale compute capacity based on demand

Support continuous software delivery

Run multiple segregated copies of the same application stack

Deploy application bundles using dynamic templates

Route network traffic to specific services based on URLWhich combination of technologies will meet all of his requirements?

Google Kubernetes Engine, Jenkins, and Helm

Google Kubernetes Engine and Cloud Load Balancing

Google Kubernetes Engine and Cloud Deployment Manager

Google Kubernetes Engine, Jenkins, and Cloud Load Balancing

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