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You have sensitive data stored in three Cloud Storage buckets and have enabled data access logging. You want to verify activities for a particular user for these buckets, using the fewest possible steps. You need to verify the addition of metadata labels and which files have been viewed from those buckets. What should you do?

A.

Using the GCP Console, filter the Activity log to view the information.

B.

Using the GCP Console, filter the Stackdriver log to view the information.

C.

View the bucket in the Storage section of the GCP Console.

D.

Create a trace in Stackdriver to view the information.

You have an application that is currently processing transactions by using a group of managed VM instances. You need to migrate the application so that it is serverless and scalable. You want to implement an asynchronous transaction processing system, while minimizing management overhead. What should you do?

A.

Install Kafka on VM instances to acknowledge incoming transactions. Use Cloud Run to process transactions.

B.

Install Kafka on VM Instances to acknowledge incoming transactions. Use VM Instances to process transactions.

C.

Use Pub/Sub to acknowledge incoming transactions. Use VM instances to process transactions.

D.

Use Pub/Sub to acknowledge incoming transactions. Use Cloud Run to process transactions.

You need to deploy an application, which is packaged in a container image, in a new project. The application exposes an HTTP endpoint and receives very few requests per day. You want to minimize costs. What should you do

A.

Deploy the container on Cloud Run.

B.

Deploy the container on Cloud Run on GKE.

C.

Deploy the container on App Engine Flexible.

D.

Deploy the container on Google Kubernetes Engine, with cluster autoscaling and horizontal pod autoscaling enabled.

You want to host your video encoding software on Compute Engine. Your user base is growing rapidly, and users need to be able 3 to encode their videos at any time without interruption or CPU limitations. You must ensure that your encoding solution is highly available, and you want to follow Google-recommended practices to automate operations. What should you do?

A.

Deploy your solution on multiple standalone Compute Engine instances, and increase the number of existing instances wnen CPU utilization on Cloud Monitoring reaches a certain threshold.

B.

Deploy your solution on multiple standalone Compute Engine instances, and replace existing instances with high-CPUinstances when CPU utilization on Cloud Monitoring reaches a certain threshold.

C.

Deploy your solution to an instance group, and increase the number of available instances whenever you see high CPU utilization in Cloud Monitoring.

D.

Deploy your solution to an instance group, and set the autoscaling based on CPU utilization.

Your application development team has created Docker images for an application that will be deployed on Google Cloud. Your team does not want to manage the infrastructure associated with this application. You need to ensure that the application can scale automatically as it gains popularity. What should you do?

A.

Create an Instance template with the container image, and deploy a Managed Instance Group withAutoscaling.

B.

Upload Docker images to Artifact Registry, and deploy the application on Google Kubernetes Engine usingStandard mode.

C.

Upload Docker images to the Cloud Storage, and deploy the application on Google Kubernetes Engine usingStandard mode.

D.

Upload Docker images to Artifact Registry, and deploy the application on Cloud Run.

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 transactions to a local file, and perform analysis with a desktop tool.

D.

Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.

You want to select and configure a cost-effective solution for relational data on Google Cloud Platform. You are working with a small set of operational data in one geographic location. You need to support point-in-time recovery. What should you do?

A.

Select Cloud SQL (MySQL). Verify that the enable binary logging option is selected.

B.

Select Cloud SQL (MySQL). Select the create failover replicas option.

C.

Select Cloud Spanner. Set up your instance with 2 nodes.

D.

Select Cloud Spanner. Set up your instance as multi-regional.

(You are managing the security configuration of your company's Google Cloud organization. The Operations team needs specific permissions on both a Google Kubernetes Engine (GKE) cluster and a Cloud SQL instance. Two predefined Identity and Access Management (IAM) roles exist that contain a subset of the permissions needed by the team. You need to configure the necessary IAM permissions for this team while following Google-recommended practices. What should you do?)

A.

Grant the team the two predefined IAM roles.

B.

Create a custom IAM role that combines the permissions from the two relevant predefined roles.

C.

Create a custom IAM role that includes only the required permissions from the predefined roles.

D.

Grant the team the IAM roles of Kubernetes Engine Admin and Cloud SQL Admin.

You’ve deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

A.

Store the database password inside the Docker image of the container, not in the YAML file.

B.

Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.

C.

Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.

D.

Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.

You are developing an application that will be deployed on Google Cloud. The application will use a service account to retrieve data from BigGuery. Before you deploy your application, you want to test the permissions of this service account from your local machine to ensure there will be no authentication issues. You want to ensure that you use the most secure method while following Google-recommended practices What should you do?

A.

Configure the gcloud CLI with Application Default Credentials using your user account. Issue a relevant BigGuery request through the gcloud CLI to test the access.

B.

Grant the service account the BlgQuery Administrator 1AM role to ensure the service account has all required access.

C.

Generate a service account key, and configure the gcloud CLI to use this key. Issue a relevant BlgQuery request through the gcloud CLI to test the access.

D.

Configure the gcloud CLI to use service account impersonation. Issue a relevant BigQuery request through the gcloud CLI to test the access.