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You need to run an important query in BigQuery but expect it to return a lot of records. You want to find out how much it will cost to run the query. You are using on-demand pricing. What should you do?
A. Arrange to switch to Flat-Rate pricing for this query, then move back to on-demand.
B. Use the command line to run a dry run query to estimate the number of bytes read.
Then convert that bytes estimate to dollars using the Pricing Calculator.
C. Run a select count (*) to get an idea of how many records your query will look through.
Then convert that number of rows to dollars using the Pricing Calculator.
D. Use the command line to run a dry run query to estimate the number of bytes returned.
Then convert that bytes estimate to dollars using the Pricing Calculator.
Answer: B
Explanation:
On-demand pricing
Under on-demand pricing, BigQuery charges for queries by using one metric: the number of bytes processed (also referred to as bytes read). You are charged for the number of bytes processed whether the data is stored in BigQuery or in an external data source such as Cloud Storage, Drive, or Cloud Bigtable. On-demand pricing is based solely on usage. https://cloud.google.com/bigquery/pricing#on_demand_pricing
NEW QUESTION # 289
You built an application on your development laptop that uses Google Cloud services. Your application uses Application Default Credentials for authentication and works fine on your development laptop. You want to migrate this application to a Compute Engine virtual machine (VM) and set up authentication using Google-recommended practices and minimal changes.
What should you do?
A. Store credentials for your user account with appropriate access for Google services in a config file, and deploy this config file with your application.
B. Assign appropriate access for Google services to the service account used by the Compute Engine VM.
C. Store credentials for service accounts with appropriate access for Google services in a config file, and deploy this config file with your application.
D. Create a service account with appropriate access for Google services, and configure the application to use this account.
Answer: B
Explanation:
A does not state that it uses compute engine default service account, just say assigne IAM role to service account used by instance. When your application runs on an instance, Application Default Credentials can authenticate using the service account that has been enabled on the instance.
So important is, the service account is used by VM instance. https://cloud.google.com/compute ... rvice-accounts-for- instances#clientlib
NEW QUESTION # 290
You have a developer laptop with the Cloud SDK installed on Ubuntu. The Cloud SDK was installed from the Google Cloud Ubuntu package repository. You want to test your application locally on your laptop with Cloud Datastore. What should you do?
A. Export Cloud Datastore data using gcloud datastore export.
B. Install the cloud-datastore-emulator component using the gcloud components install command.
C. Install the google-cloud-sdk-datastore-emulator component using the apt get install command.
D. Create a Cloud Datastore index using gcloud datastore indexes create.
Answer: B
NEW QUESTION # 291
You are configuring service accounts for an application that spans multiple projects. Virtual machines (VMs) running in the web-applications project need access to BigQuery datasets in crm-databases-proj. You want to follow Google-recommended practices to give access to the service account in the web-applications project. What should you do?
A. Give "project owner" for web-applications appropriate roles to crm-databases- proj
B. Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.
C. Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web-applications.
D. Give "project owner" role to crm-databases-proj and the web-applications project.
Answer: C
Explanation:
Reference:
bigquery.dataViewer role provides permissions to read the datasets metadata and list tables in the dataset as well as Read data and metadata from the datasets tables. This is exactly what we need to fulfil this requirement and follows the least privilege principle.
Ref: https://cloud.google.com/iam/doc ... oles#bigquery-roles
NEW QUESTION # 292
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your data. Your users need to be able to access this archived data once a quarter for some regulatory requirements. You want to select a cost-efficient option. Which storage option should you use?
A. Regional Storage
B. Nearline Storage
C. Multi-Regional Storage
D. Coldline Storage
Answer: D
Explanation:
Coldline Storage is a very-low-cost, highly durable storage service for storing infrequently accessed data.
Coldline Storage is ideal for data you plan to read or modify at most once a quarter. Since we have a requirement to access data once a quarter and want to go with the most cost-efficient option, we should select Coldline Storage.
Ref: https://cloud.google.com/storage/docs/storage-classes#coldline
NEW QUESTION # 293
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