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Google Associate-Cloud-Engineer Certification is an essential certification for professionals who want to demonstrate their skills and knowledge in cloud computing. It validates your ability to manage and deploy GCP solutions and is recognized globally by employers. With cloud computing becoming increasingly important in today's business world, earning this certification can help you advance your career and increase your earning potential.
The Google ACE exam covers five broad topics. Each section has a list of components that the candidates must study and understand before attempting the certification test. The domains are the following:
Setting Up Cloud Solution Environments
- Install and configure Cloud SDK CLI (Command Line Interface).
- Set up Cloud accounts and projects: the activities under this component include creating projects; assigning the specific users to predetermined IAM roles for a project; managing the users within Cloud Identity allowing APIs in projects; provisioning multiple Stackdriver workspaces;
- Manage billing configuration: this involves skills in creating multiple billing accounts; linking projects to a specific billing account; determining the billing budget and alerts; creating billing exports for daily/monthly estimated charges;
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Google Associate Cloud Engineer Exam Sample Questions (Q178-Q183):
NEW QUESTION # 178
You have been asked to set up Object Lifecycle Management for objects stored in storage buckets. The objects are written once and accessed frequently for 30 days. After 30 days, the objects are not read again unless there is a special need. The object should be kept for three years, and you need to minimize cost. What should you do?
- A. Set up a policy that uses Nearline storage for 30 days and then moves to Archive storage for three years.
- B. Set up a policy that uses Standard storage for 30 days, then moves to Coldline for one year, and then moves to Archive storage for two years.
- C. Set up a policy that uses Nearline storage for 30 days, then moves the Coldline for one year, and then moves to Archive storage for two years.
- D. Set up a policy that uses Standard storage for 30 days and then moves to Archive storage for three years.
Answer: A
Explanation:
Reference:
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%20Archive%20storage%20for%20three%20years.&f=false
NEW QUESTION # 179
Your team is building a website that handles votes from a large user population. The incoming votes will arrive at various rates. You want to optimize the storage and processing of the votes. What should you do?
- A. Use a dedicated instance to process the incoming votes. Send the votes directly to this instance.
- B. Save the incoming votes to Firestore. Use Cloud Scheduler to trigger a Cloud Functions instance to periodically process the votes.
- C. Save the incoming votes to Pub/Sub. Use the Pub/Sub topic to trigger a Cloud Functions instance to process the votes.
- D. Save the incoming votes to a JSON file on Cloud Storage. Process the votes in a batch at the end of the day.
Answer: A
Explanation:
Pub/Sub is a scalable and reliable messaging service that can handle large volumes of data from different sources at different rates. It allows you to decouple the producers and consumers of the data, and provides a durable and persistent storage for the messages until they are delivered. Cloud Functions is a serverless platform that can execute code in response to events, such as messages published to a Pub/Sub topic. It can scale automatically based on the load, and you only pay for the resources you use. By using Pub/Sub and Cloud Functions, you can optimize the storage and processing of the votes, as you can handle the variable rates of incoming votes, process them in real time or near real time, and avoid managing servers or VMs. References:
* Pub/Sub documentation
* Cloud Functions documentation
* Choosing a messaging service for Google Cloud
NEW QUESTION # 180
You are managing a project for the Business Intelligence (BI) department in your company. A data pipeline ingests data into BigQuery via streaming. You want the users in the BI department to be able to run the custom SQL queries against the latest data in BigQuery. What should you do?
- A. Use Cloud Scheduler to schedule a batch Dataflow job to copy the data from BigQuery to the BI team's internal data warehouse.
- B. Assign the IAM role of BigQuery User to a Google Group that contains the members of the BI team.
- C. Create a Service Account for the BI team and distribute a new private key to each member of the BI team.
- D. Create a Data Studio dashboard that uses the related BigQuery tables as a source and give the BI team view access to the Data Studio dashboard.
Answer: B
Explanation:
roles/bigquery.user
When applied to a dataset, this role provides the ability to read the dataset's metadata and list tables in the dataset.
When applied to a project, this role also provides the ability to run jobs, including queries, within the project. A member with this role can enumerate their own jobs, cancel their own jobs, and enumerate datasets within a project. Additionally, allows the creation of new datasets within the project; the creator is granted the BigQuery Data Owner role (roles/bigquery.dataOwner) on these new datasets.
NEW QUESTION # 181
Your company is moving from an on-premises environment to Google Cloud Platform (GCP). You have multiple development teams that use Cassandra environments as backend databases. They all need a development environment that is isolated from other Cassandra instances. You want to move to GCP quickly and with minimal support effort. What should you do?
- A. 1. Advise your developers to go to Cloud Marketplace.
2. Ask the developers to launch a Cassandra image for their development work. - B. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.
2. Use the snapshot to create instances for your developers. - C. 1. Build an instruction guide to install Cassandra on GCP.
2. Make the instruction guide accessible to your developers. - D. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.
2. Upload the snapshot to Cloud Storage and make it accessible to your developers.
3. Build instructions to create a Compute Engine instance from the snapshot so that developers can do it themselves.
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION # 182
You are planning to migrate your on-premises data to Google Cloud. The data includes:
* 200 TB of video files in SAN storage
* Data warehouse data stored on Amazon Redshift
* 20 GB of PNG files stored on an S3 bucket
You need to load the video files into a Cloud Storage bucket, transfer the data warehouse data into BigQuery, and load the PNG files into a second Cloud Storage bucket. You want to follow Google-recommended practices and avoid writing any code for the migration. What should you do?
- A. Use Storage Transfer Service for the video files, BigQuery Data Transfer Service for the data warehouse data, and Storage Transfer Service for the PNG files.
- B. Use Cloud Data Fusion for the video files, Dataflow for the data warehouse data, and Storage Transfer Service for the PNG files.
- C. Use gcloud storage for the video files. Dataflow for the data warehouse data, and Storage Transfer Service for the PNG files.
- D. Use Transfer Appliance for the videos. BigQuery Data Transfer Service for the data warehouse data, and Storage Transfer Service for the PNG files.
Answer: A
NEW QUESTION # 183
......
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