FREE PDF QUIZ GOOGLE - PROFESSIONAL-CLOUD-DEVOPS-ENGINEER–PROFESSIONAL EXAM EXPERIENCE

Free PDF Quiz Google - Professional-Cloud-DevOps-Engineer–Professional Exam Experience

Free PDF Quiz Google - Professional-Cloud-DevOps-Engineer–Professional Exam Experience

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q106-Q111):

NEW QUESTION # 106
You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?

  • A. * Store your code in a Git-based version control system.
    * Establish a process that allows developers to merge their own changes at the end of each day.
    * Package and upload code lo a versioned Cloud Storage bucket as the latest master version.
  • B. * Store your code in a Git-based version control system.
    * Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.
    * Establish a process where the fully integrated code in the repository becomes the latest master version.
  • C. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.
    * At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.
    * Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.
  • D. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.
    * At the end of each day. confirm that all changes have been captured in the files within the folder structure.
    * Rename the folder structure with a predefined naming convention that increments the version.

Answer: A


NEW QUESTION # 107
Your team is building a service that performs compute-heavy processing on batches of data The data is processed faster based on the speed and number of CPUs on the machine These batches of data vary in size and may arrive at any time from multiple third-party sources You need to ensure that third parties are able to upload their data securely. You want to minimize costs while ensuring that the data is processed as quickly as possible What should you do?

  • A. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
    * Use Cloud Monitoring to detect new batches of data in the bucket and trigger a Cloud Function that processes the data
    * Set a Cloud Function to use the largest CPU possible to minimize the runtime of the processing
  • B. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
    * Use a standard Google Kubernetes Engine (GKE) cluster and maintain two services one that processes the batches of data and one that monitors Cloud Storage for new batches of data
    * Stop the processing service when there are no batches of data to process
  • C. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate identity and Access Management (1AM) access to the bucket
    * Create a Cloud Function with a google, storage, object .finalise Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
    * Use an image pre-loaded with the data processing software that terminates the instances when processing completes
  • D. * Provide a secure file transfer protocol (SFTP) server on a Compute Engine instance so that third parties can upload batches of data and provide appropriate credentials to the server
    * Create a Cloud Function with a google.storage, object, finalize Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
    * Use an image pre-loaded with the data processing software that terminates the instances when processing completes

Answer: C

Explanation:
Explanation
The best option for ensuring that third parties are able to upload their data securely and minimizing costs while ensuring that the data is processed as quickly as possible is to provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (IAM) access to the bucket; create a Cloud Function with a google.storage.object.finalize Cloud Storage trigger; write code so that the function can scale up a Compute Engine autoscaling managed instance group; use an image pre-loaded with the data processing software that terminates the instances when processing completes. A Cloud Storage bucket is a resource that allows you to store and access data in Google Cloud. You can provide a Cloud Storage bucket so that third parties can upload batches of data securely and conveniently. You can also provide appropriate IAM access to the bucket by using roles and policies to control who can read or write data to the bucket. A Cloud Function is a serverless function that executes code in response to an event, such as a change in a Cloud Storage bucket. A google.storage.object.finalize trigger is a type of trigger that fires when a new object is created or an existing object is overwritten in a Cloud Storage bucket. You can create a Cloud Function with a google.storage.object.finalize trigger so that the function runs whenever a new batch of data is uploaded to the bucket. You can write code so that the function can scale up a Compute Engine autoscaling managed instance group, which is a group of VM instances that automatically adjusts its size based on load or custom metrics. You can use an image pre-loaded with the data processing software that terminates the instances when processing completes, which means that the instances only run when there is data to process and stop when they are done. This way, you can minimize costs while ensuring that the data is processed as quickly as possible.


NEW QUESTION # 108
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?

  • A. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
  • B. Link Stackdriver Logging as a source in Google Data Studio. Filler (he logs on the cache misses.
  • C. 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
  • D. Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.

Answer: A

Explanation:
https://cloud.google.com/logging/docs/logs-based-metrics#counter-metric


NEW QUESTION # 109
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster.
The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

  • A. Configure a Google Cloud HTTP Load Balancer as Ingress.
  • B. Configure your Kubernetes duster as a Private Cluster.
  • C. Configure the VPC as a Shared VPC Host project.
  • D. Configure your network services on the Standard Tier.

Answer: D

Explanation:
Explanation
The Standard Tier network service offers lower network costs than the Premium Tier. This is the correct option to reduce the network cost for the application3.


NEW QUESTION # 110
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. All PII 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 an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a log exclusion with userinfo as a filter.
  • B. 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.
  • C. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
  • D. 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.

Answer: C


NEW QUESTION # 111
......

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