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Professional-Cloud-DevOps-Engineer Exam Dumps - Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Question # 25

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 (OLJ and Communications Lead (CL). What should you do next?

A.

Look for ways to mitigate user impact and deploy the mitigations to production.

B.

Contact the affected service owners and update them on the status of the incident.

C.

Establish a communication channel where incident responders and leads can communicate with each other.

D.

Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

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Question # 26

You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?

A.

Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

B.

Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.

C.

Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a tog exclusion with userinfo as a filter.

D.

Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

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Question # 27

You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

A.

Create a cron job to terminate any Pods that have been running for more than five hours

B.

Add a HTTP liveness probe to the microservice s deployment

C.

Monitor the Pods and terminate any Pods that have been running for more than five hours

D.

Configure an alert to notify you whenever a Pod returns 403 errors

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Question # 28

You support a user-facing web application When analyzing the application's error budget over the previous six months you notice that the application never consumed more than 5% of its error budget You hold a SLO review with business stakeholders and confirm that the SLO is set appropriately You want your application's reliability to more closely reflect its SLO What steps can you take to further that goal while balancing velocity, reliability, and business needs?

Choose 2 answers

A.

Add more serving capacity to all of your application's zones

B.

Implement and measure all other available SLIs for the application

C.

Announce planned downtime to consume more error budget and ensure that users are not depending on a tighter SLO

D.

Have more frequent or potentially risky application releases

E.

Tighten the SLO to match the application's observed reliability

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Question # 29

Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

A.

Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.

B.

Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.

C.

Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.

D.

Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.

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Question # 30

Your organization is using Helm to package containerized applications Your applications reference both public and private charts Your security team flagged that using a public Helm repository as a dependency is a risk You want to manage all charts uniformly, with native access control and VPC Service Controls What should you do?

A.

Store public and private charts in OCI format by using Artifact Registry

B.

Store public and private charts by using GitHub Enterprise with Google Workspace as the identity provider

C.

Store public and private charts by using Git repository Configure Cloud Build to synchronize contents of the repository into a Cloud Storage bucket Connect Helm to the bucket by using https: // [bucket] .srorage.googleapis.com/ [holnchart] as the Helm repository

D.

Configure a Helm chart repository server to run in Google Kubernetes Engine (GKE) with Cloud Storage bucket as the storage backend

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Question # 31

You recently noticed that one of your services has exceeded the error budget for the current rolling window period. Your company’s product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices. What should you do?

A.

Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.

B.

Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.

C.

Escalate the situation and request additional error budget.

D.

Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.

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Question # 32

You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service’s operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)

A.

Make the service’s SLO more strict.

B.

Increase the service’s deployment velocity and/or risk.

C.

Shift engineering time to other services that need more reliability.

D.

Get the product team to prioritize reliability work over new features.

E.

Change the implementation of your Service Level Indicators (SLIs) to increase coverage.

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