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NEW QUESTION 41
Your company has a large quantity of unstructured data in different file formats. You want to perform ETL transformations on the data. You need to make the data accessible on Google Cloud so it can be processed by a Dataflow job. What should you do?

A. Upload the data to Cloud Storage using the gsutil command line tool.B. Upload the data into Cloud SQL using the import function in the console.C. Upload the data to BigQuery using the bq command line tool.D. Upload the data into Cloud Spanner using the import function in the console.

Answer: C

Explanation:
Reference:
https://cloud.google.com/solutions/performing-etl-from-relational-database-into-bigquery

 

NEW QUESTION 42
The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors.
You expect high throughput ?up to thousands of events per hour per device ?and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

A. Ingest the data into Datastore. Store data in an entity group based on the device.B. Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.C. Create a file in Cloud Filestore per device and append new data to that file.D. Create a file in Cloud Storage per device and append new data to that file.

Answer: B

Explanation:
Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT.
https://cloud.google.com/bigtable

 

NEW QUESTION 43
For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?

A. 1. In Stackdriver Logging, create a filter to view only Compute Engine logs.2. Click Create Export.3. Choose BigQuery as Sink Service, and the platform-logs dataset as Sink Destination.B. 1. Create a Cloud Function that has the BigQuery User role on the platform-logs dataset.2. Configure this Cloud Function to create a BigQuery Job that executes this query:INSERT INTO dataset.platform-logs (timestamp, log)SELECT timestamp, log FROM compute.logsWHERE timestamp > DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)3. Use Cloud Scheduler to trigger this Cloud Function once a day.C. 1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logs as a sink.2. Create a Cloud Function that is triggered by messages in the logs topic.3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logs dataset.D. 1. Give the BigQuery Data Editor role on the platform-logs dataset to the service accounts used by your instances.2. Update your instances' metadata to add the following value: logs-destination: bq://platform-logs.

Answer: A

 

NEW QUESTION 44
Your team has been working towards using desired state configuration for your entire infrastructure, which is why they're excited to store the Kubernetes Deployments in YAML. You created a Kubernetes Deployment with the kubectl apply command and passed on a YAML file. You need to edit the number of replicas. What steps should you take to update the Deployment?

A. Disregard the YAML file. Use the kubectl scale command.B. Edit the number of replicas in the YAML file and run the kubectl set image command.C. Edit the number of replicas in the YAML file and rerun the kubectl apply.D. Edit the YAML and push it to Github so that the git triggers deploy the change.

Answer: C

 

NEW QUESTION 45
You need to create a copy of a custom Compute Engine virtual machine (VM) to facilitate an expected increase in application traffic due to a business acquisition. What should you do?

A. Create a Compute Engine snapshot of your base VM.
Create your images from that snapshot.B. Create a custom Compute Engine image from a snapshot.
Create your instances from that image.C. Create a custom Compute Engine image from a snapshot.
Create your images from that image.D. Create a Compute Engine snapshot of your base VM.
Create your instances from that snapshot.

Answer: B

Explanation:
A custom image belongs only to your project. To create an instance with a custom image, you must first have a custom image.
Reference: https://cloud.google.com/compute/docs/instances/create-start-instance

 

NEW QUESTION 46
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