Free PDF Associate-Cloud-Engineer - Google Associate Cloud Engineer Exam Pass-Sure Exam Questions Pdf

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The Google Associate-Cloud-Engineer Exam consists of multiple-choice and multiple-select questions, and it is timed for two hours. The passing score for the Google Associate Cloud Engineer exam is 70%, and it costs $125 to take the test. Associate-Cloud-Engineer exam covers a range of topics, including deploying applications, managing compute resources, managing storage and database services, and monitoring and troubleshooting GCP environments. Candidates who pass the exam will earn the Google Associate Cloud Engineer certification, which is valid for two years and demonstrates their expertise and proficiency in using GCP services.

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Google Associate-Cloud-Engineer Certification Exam consists of multiple-choice questions and is designed to test the candidate’s knowledge and understanding of Google Cloud Platform. Associate-Cloud-Engineer exam covers topics such as deploying applications, managing virtual machines, networking, storage, and security. Associate-Cloud-Engineer Exam also tests the candidate’s ability to use Google Cloud Console, Google Cloud SDK, and other command-line tools.

Google Associate Cloud Engineer Exam Sample Questions (Q354-Q359):

NEW QUESTION # 354
A retail company has sensors placed in its physical retail stores. The sensors send messages over HTTP when customers interact with in-store product displays. A Solutions Architect needs to implement a system for processing those sensor messages; the results must be available for the Data Analysis team.
Which architecture should be used to meet these requirements?

A. Implement an Amazon API Gateway to server as the HTTP endpoint. Have the API Gateway trigger an AWS Lambda function to process the messages, and save the results to an Amazon DynamoDB table.
B. Use AWS Direct Connect to connect sensors to DynamoDB so that data can be written directly to a DynamoDB table where it can be accessed by the Data Analysis team.
C. Use Amazon Route 53 to direct incoming sensor messages to a Lambda function to process the message and save the results to a Amazon DynamoDB table.
D. Create an Amazon EC2 instance to server as the HTTP endpoint and to process the messages. Save the results to Amazon S3 for the Data Analysis team to download.

Answer: A

NEW QUESTION # 355
Your organization has user identities in Active Directory. Your organization wants to use Active Directory as their source of truth for identities. Your organization wants to have full control over the Google accounts used by employees for all Google services, including your Google Cloud Platform (GCP) organization. What should you do?

A. Export users from Active Directory as a CSV and import them to Cloud Identity via the Admin Console.
B. Use Google Cloud Directory Sync (GCDS) to synchronize users into Cloud Identity.
C. Ask each employee to create a Google account using self signup. Require that each employee use their company email address and password.
D. Use the cloud Identity APIs and write a script to synchronize users to Cloud Identity.

Answer: B

Explanation:
Reference:
https://cloud.google.com/solutions/federating-gcp-with-active-directory-introduction

NEW QUESTION # 356
A website keeps a record of user actions using a globally unique identifier (GIUD) retrieved from Amazon Aurora in place of the user name within the audit record. Security protocols state that the GUID content must not leave the company's Amazon VPC.
As the web traffic has increased, the number of web servers and Aurora read replicas has also increased to keep up with the user record reads for the GUID.
What should be done to reduce the number of read replicas required while improving performance?

A. Keep the user name and GUID in memory on the web server instance so that the association can be remade on demand. Remove the record after 30 minutes.
B. Deploy a Amazon ElastiCache for Redis server into the infrastructure and store the user name and GUID there. Retrieve GUID from ElastiCache when required.
C. Encrypt the GUID using Base64 and store it in the user's session cookie. Decrypt the GUID when an audit record is needed.
D. Change the GUID to an MD5 hash of the user name, so that the value can be calculated on demand without referring to the database.

Answer: B

Explanation:
Explanation/Reference: https://aws.amazon.com/elasticache/redis/faqs/

NEW QUESTION # 357
You need to manage multiple Google Cloud Platform (GCP) projects in the fewest steps possible. You want to configure the Google Cloud SDK command line interface (CLI) so that you can easily manage multiple GCP projects. What should you?

A. 1. Use the default configuration for one project you need to manage.
2. Activate the appropriate configuration when you work with each of your assigned GCP projects.
B. 1. Use the default configuration for one project you need to manage.
2. Use gcloud init to update the configuration values when you need to work with a non-default project.
C. 1. Create a configuration for each project you need to manage.
2. Activate the appropriate configuration when you work with each of your assigned GCP projects.
D. 1. Create a configuration for each project you need to manage.
2. Use gcloud init to update the configuration values when you need to work with a non-default project

Answer: C

Explanation:
https://cloud.google.com/sdk/gcloud
https://cloud.google.com/sdk/docs/configurations#multiple_configurations

NEW QUESTION # 358
Your company wants to standardize the creation and management of multiple Google Cloud resources using Infrastructure as Code. You want to minimize the amount of repetitive code needed to manage the environment What should you do?

A. Create a bash script that contains all requirement steps as gcloud commands
B. Use the Cloud Console interface to provision and manage all related resources
C. Develop templates for the environment using Cloud Deployment Manager
D. Use curl in a terminal to send a REST request to the relevant Google API for each individual resource.

Answer: C

Explanation:
Explanation
You can use Google Cloud Deployment Manager to create a set of Google Cloud resources and manage them as a unit, called a deployment. For example, if your team's development environment needs two virtual machines (VMs) and a BigQuery database, you can define these resources in a configuration file, and use Deployment Manager to create, change, or delete these resources. You can make the configuration file part of your team's code repository, so that anyone can create the same environment with consistent results.
https://cloud.google.com/deployment-manager/docs/quickstart

NEW QUESTION # 359
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