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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Setting up a cloud solution environment	20%	- Managing billing and identity access - Setting up cloud projects and accounts
Configuring access and security	15%	- Managing IAM roles and permissions - Securing data and services
Ensuring successful operation of a cloud solution	20%	- Managing cloud resources - Monitoring and logging
Deploying and implementing a cloud solution	20%	- Implementing networking components - Deploying applications and services
Planning and configuring a cloud solution	25%	- Configuring storage and database solutions - Configuring compute resources

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Google Associate Cloud Engineer Exam Sample Questions (Q399-Q404):

NEW QUESTION # 399
You are analyzing Google Cloud Platform service costs from three separate projects. You want to use this information to create service cost estimates by service type, daily and monthly, for the next six months using standard query syntax. What should you do?

A. Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.
B. Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.
C. Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.
D. Export your transactions to a local file, and perform analysis with a desktop tool.

Answer: C

Explanation:
BigQuery provides an ideal storage option to store and query in standard SQL dialect.BigQuery, Google's serverless, highly scalable enterprise data warehouse.

NEW QUESTION # 400
Your company uses Cloud Storage to store application backup files for disaster recovery purposes. You want to follow Google's recommended practices. Which storage option should you use?

A. Coldline Storage
B. Nearline Storage
C. Regional Storage
D. Multi-Regional Storage

Answer: A

Explanation:
Reference: https://cloud.google.com/storage/docs/storage-classes#nearline
https://cloud.google.com/blog/products/gcp/introducing-coldline-and-a-unified-platform-for-data-storage Cloud Storage Coldline: a low-latency storage class for long-term archiving Coldline is a new Cloud Storage class designed for long-term archival and disaster recovery. Coldline is perfect for the archival needs of big data or multimedia content, allowing businesses to archive years of data. Coldline provides fast and instant (millisecond) access to data and changes the way that companies think about storing and accessing their cold data.

NEW QUESTION # 401
Your company is moving its continuous integration and delivery (CI/CD) pipeline to Compute Engine instances. The pipeline will manage the entire cloud infrastructure through code. How can you ensure that the pipeline has appropriate permissions while your system is following security best practices?

A. * Attach a single service account to the compute instances.* Add minimal rights to the service account.* Allow the service account to impersonate a Cloud Identity user with elevated permissions to create, update, or delete resources.
B. * Add a step for human approval to the CI/CD pipeline before the execution of the infrastructureprovisioning.* Use the human approvals IAM account for the provisioning.
C. * Attach a single service account to the compute instances.* Add all required Identity and Access Management (IAM) permissions to this service account to create, update, or delete resources
D. * Create multiple service accounts, one for each pipeline with the appropriate minimal Identity andAccess Management (IAM) permissions.* Use a secret manager service to store the key files of the service accounts.* Allow the CI/CD pipeline to request the appropriate secrets during the execution of the pipeline.

Answer: A

Explanation:
The best option is to attach a single service account to the compute instances and add minimal rights to the service account. Then, allow the service account to impersonate a Cloud Identity user with elevated permissions to create, update, or delete resources. This way, the service account can use short-lived access tokens to authenticate to Google Cloud APIs without needing to manage service account keys. This option follows the principle of least privilege and reduces the risk of credential leakage and misuse.
Option A is not recommended because it requires human intervention, which can slow down the CI/CD pipeline and introduce human errors. Option C is not secure because it grants all required IAM permissions to a single service account, which can increase the impact of a compromised key. Option D is not cost-effective because it requires creating and managing multiple service accounts and keys, as well as using a secret manager service.
1: https://cloud.google.com/iam/docs/impersonating-service-accounts
2: https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys
3: https://cloud.google.com/iam/docs/understanding-service-accounts

NEW QUESTION # 402
A Solutions Architect is designing a solution to monitor weather changes by the minute. The frontend application is hosted on Amazon EC2 instances. The backend must be scalable to a virtually unlimited size, and data retrieval must occur with minimal latency.
Which AWS service should the Architect use to store the data and achieve these requirements?

A. Amazon RDS
B. Amazon EBS
C. Amazon S3
D. Amazon DynamoDB

Answer: C

NEW QUESTION # 403
You are developing a new web application that will be deployed on Google Cloud Platform. As part of your release cycle, you want to test updates to your application on a small portion of real user traffic. The majority of the users should still be directed towards a stable version of your application. What should you do?

A. Deploy me application on App Engine For each update, create a new version of the same service Configure traffic splitting to send a small percentage of traffic to the new version
B. Deploy the application on App Engine For each update, create a new service Configure traffic splitting to send a small percentage of traffic to the new service.
C. Deploy the application on Kubernetes Engine For a now release, create a new deployment for the new version Update the service e to use the now deployment.
D. Deploy the application on Kubernetes Engine For a new release, update the deployment to use the new version

Answer: A

Explanation:
Keyword, Version, traffic splitting, App Engine supports traffic splitting for versions before releasing.

NEW QUESTION # 404
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