PROFESSIONAL CLOUD DEVOPS ENGINEER Dumps in PDF and Online

QUESTION: 17

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

Use Cloud Operations for GKE.
Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
Use the Cloud Monitoring API to create custom metrics, and then organize your containers using groups.
Use Cloud Logging to export application logs to BigQuery, aggregate logs per container, and then analyze CPU and memory consumption.

Answer(s): A

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QUESTION: 18

Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to toad test new features. What should you do?

Create an automated testing script in production to detect failures as soon as they occur.
Create a development environment with smaller server capacity and give access only to developers and testers.
Secure the production environment to ensure that developers can't change it and set up one controlled update per year.
Create a development environment for writing code and a test environment for configurations, experiments,
and load testing.

Answer(s): D

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QUESTION: 19

You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Cloud Monitoring for App Engine.
What metric should you use?

flex/connections/current
tcp_ssl_proxy/new_connections
tcp_ssl_proxy/open_connections
flex/instance/connections/current

Answer(s): A

Reference:

https://cloud.google.com/monitoring/api/metrics_gcp

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QUESTION: 20

You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?

Check the serial port logs of the Compute Engine instance.
Use Cloud Profiler to visualize the resources utilization throughout the application.
Determine whether there is an increased number of connections to the Cloud SQL instance.
Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.

Answer(s): B

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QUESTION: 21

Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

Update the source control release version tag with the image digest after pushing to Artifact Registry.
Use Cloud Build to tag the image with the release version tag before pushing to Artifact Registry.
Use Cloud Build to include the release version tag as an environment variable in the application image.
Use Artifact Registry digest versioning to match the image to the release version tag in source control.

Answer(s): C

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QUESTION: 22

You are on-call for an infrastructure service that has a large number of dependent systems. You receive an

alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OL) and Communications Lead (CL). What should you do next?

Look for ways to mitigate user impact and deploy the mitigations to production.
Contact the affected service owners and update them on the status of the incident.
Establish a communication channel where incident responders and leads can communicate with each other.
Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

Answer(s): C

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QUESTION: 23

You are developing a strategy for monitoring your Google Cloud projects in production using Cloud Monitoring Workspaces. One of the requirements is to be able to quickly identify and react to production issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Cloud Monitoring Workspaces. What should you do?

Grant relevant team members read access to all Google Cloud production projects. Create Cloud Monitoring Workspaces inside each project.
Grant relevant team members the Project Viewer IAM role on all Google Cloud production projects. Create Cloud Monitoring Workspaces inside each project.
Choose an existing Google Cloud production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Cloud Monitoring Workspace.
Create a new Google Cloud monitoring project and create a Cloud Monitoring Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Cloud Monitoring Workspace.

Answer(s): D

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QUESTION: 24

You currently store the virtual machine (VM) utilization logs in Cloud Logging. You need to provide an easy-to- share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud solutions. What should you do?

1. Export VM utilization logs from Cloud Logging to BigQuery.
2. Create a dashboard in Data Studio.
3. Share the dashboard with your stakeholders.
1. Export VM utilization logs from Cloud Logging to Pub/Sub.
2. From Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.
3. Build the dashboards in the SIEM system and share with your stakeholders.
1. Export VM utilization logs from Cloud Logging to BigQuery.
2. From BigQuery, export the logs to a CSV file.
3. Import the CSV file into Google Sheets.
4. Build a dashboard in Google Sheets and share it with your stakeholders.
1. Export VM utilization logs from Cloud Logging to a Cloud Storage bucket.
2. Enable the Cloud Storage API to pull the logs programmatically.
3. Build a custom data visualization application.

4. Display the pulled logs in a custom dashboard.

Answer(s): A

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Google Professional Cloud DevOps Engineer PROFESSIONAL CLOUD DEVOPS ENGINEER Dumps in PDF

Free Google PROFESSIONAL CLOUD DEVOPS ENGINEER Real Questions (page: 3)

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