Google Associate-Cloud-Engineer valid study dumps : Google Associate Cloud Engineer Exam

You are working for a hospital that stores its medical images in an on-premises data room. The hospital wants to use Cloud Storage for archival storage of these images. The hospital wants an automated process to upload any new medical images to Cloud Storage. You need to design and implement a solution. What should you do?

• A. Create a Pub/Sub topic, and enable a Cloud Storage trigger for the Pub/Sub topic. Create an application that sends all medical images to the Pub/Sub topic.
• B. Create a script that uses the gcloud storage command to synchronize the on-premises storage with Cloud Storage, Schedule the script as a cron job.
• C. In the Google Cloud console, go to Cloud Storage. Upload the relevant images to the appropriate bucket.
• D. Create a Pub/Sub topic, and create a Cloud Function connected to the topic that writes data to Cloud Storage. Create an application that sends all medical images to the Pub/Sub topic.

Your company uses a multi-cloud strategy that includes Google Cloud. You want to centralize application logs in a third-party software-as-a-service (SaaS) tool from all environments. You need to integrate logs originating from Cloud Logging, and you want to ensure the export occurs with the least amount of delay possible. What should you do?

• A. Create a Cloud Logging sink and configure Cloud Storage as the destination. Configure the SaaS tool to read the Cloud Storage bucket to retrieve the logs.
• B. Use a Cloud Scheduler cron job to trigger a Cloud Function that queries Cloud Logging and sends the logs to the SaaS tool.
• C. Create a Cloud Logging sink and configure BigQuery as the destination. Configure the SaaS tool to query BigQuery to retrieve the logs.
• D. Create a Cloud Logging sink and configure Pub/Sub as the destination. Configure the SaaS tool to subscribe to the Pub/Sub topic to retrieve the logs.

Which of the following command is used to create buckets in Cloud Storage?

• A. gsutil mb
• B. gcloud mb
• C. gcloud storage buckets create
• D. gsutil storage buckets create

You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their application on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the dataset. What should you do?

• A. Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project.
• B. Create a Service Account in your own project, and grant this Service Account access to BigQuery in your project.
• C. Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project.
• D. Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project.

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. 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.
• 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. Use Cloud Scheduler to schedule a batch Dataflow job to copy the data from BigQuery to the BI team's internal data warehouse.