[Jan-2024] Updated Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer Exam Questions BUNDLE PACK [Q96-Q112]

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[Jan-2024] Updated Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer Exam Questions BUNDLE PACK

Master The Google Content Professional-Cloud-DevOps-Engineer EXAM DUMPS WITH GUARANTEED SUCCESS!

NO.96 You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals:
After the initial spike in traffic, load levels returned to normal but users still experience high latency.
Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency.
No changes were made to the website around the time the latency increased.
There is no increase in the number of errors to the users.
You expect another spike in website traffic in the coming days and want to make sure users don’t experience latency. What should you do?

Upgrade the GCS buckets to Multi-Regional.

Enable high availability on the CloudSQL instances.

Move the application from App Engine to Compute Engine.

Modify the App Engine configuration to have additional idle instances.

NO.97 You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

Reroute the user traffic from the affected region to other regions that don’t report issues.

Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.

Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.

NO.98 You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time. What should you do?

Link Stackdriver Logging as a source in Google Data Studio. Filler (he logs on the cache misses.

Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.

Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.

Configure BigOuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table

NO.99 You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o’ as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs

Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate

Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth

Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity

NO.100 Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33%

MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%

MTTD:5
MTTR: 10
MTBF: 90
Impact 50%

MTTD:5
MTTR: 20
MTBF: 90
Impact: 50%

NO.101 You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.

Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.

Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.

Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.

NO.102 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 Stackdriver 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.

NO.103 You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?

Use the Recommender API and apply the suggested recommendations

Create an Agent Policy to automatically install Ops Agent in all VMs

Install the Ops Agent in a fleet of VMs by using the gcloud CLI

Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization

NO.104 You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month.
You need to identify the metric and evaluation method to use. What should you do?

Select a latency metric for a request-based method of evaluation.

Select a latency metric for a window-based method of evaluation.

Select an availability metric for a request-based method of evaluation.

Select an availability metric for a window-based method Of evaluation.

NO.105 A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error “The organization policy constraint larn.disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?

Enable the default service account key. and download the key

Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.

Disable the service account key creation policy at the project’s folder, and download the default key

Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.

NO.106 You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?

Develop an appropriate error budget policy in cooperation with all service stakeholders.

Negotiate with the product team to always prioritize service reliability over releasing new features.

Negotiate with the development team to reduce the release frequency to no more than once a week.

Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.

NO.107 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.)

Make the service’s SLO more strict.

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

Shift engineering time to other services that need more reliability.

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

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

NO.108 You are managing an application that runs in Compute Engine The application uses a custom HTTP server to expose an API that is accessed by other applications through an internal TCP/UDP load balancer A firewall rule allows access to the API port from 0.0.0-0/0. You need to configure Cloud Logging to log each IP address that accesses the API by using the fewest number of steps What should you do Bret?

Enable Packet Mirroring on the VPC

Install the Ops Agent on the Compute Engine instances.

Enable logging on the firewall rule

Enable VPC Flow Logs on the subnet

NO.109 You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

Compare the canary with a new deployment of the current production version.

Compare the canary with a new deployment of the previous production version.

Compare the canary with the existing deployment of the current production version.

Compare the canary with the average performance of a sliding window of previous production versions.

NO.110 You need to run a business-critical workload on a fixed set of Compute Engine instances for several months.
The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

Purchase Committed Use Discounts.

Create an Unmanaged Instance Group for the instances used to run the workload.

Convert the instances to preemptible virtual machines.

Migrate the instances to a Managed Instance Group.

NO.111 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?

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.

NO.112 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 Stackdriver Monitoring for App Engine. What metric should you use?

flex/connections/current

tcp_ssl_proxy/new_connections

tcp_ssl_proxy/open_connections

(lex/jnstance/connections/current

The Google Cloud Certified – Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice questions, scenario-based questions, and hands-on tasks. Professional-Cloud-DevOps-Engineer exam duration is two hours, and the passing score is 70%. Professional-Cloud-DevOps-Engineer exam fee is $200 USD, and it is available in multiple languages, including English, Japanese, and Spanish. Candidates can take the exam online or at a test center.

Earning the Google Professional-Cloud-DevOps-Engineer certification demonstrates that the candidate has the skills and knowledge required to design and manage efficient cloud-based systems using Google Cloud technologies. Google Cloud Certified – Professional Cloud DevOps Engineer Exam certification is recognized globally and is highly valued by employers who are looking for professionals with expertise in DevOps and cloud-based systems management. It also provides the candidate with an opportunity to enhance their career prospects and expand their professional network in the cloud computing industry.

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