Summer Special Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: exc65

examout.co

Your company’s infrastructure is on-premises, but all machines are running at maximum capacity. You want to burst to Google Cloud. The workloads on Google Cloud must be able to directly communicate to the workloads on-premises using a private IP range. What should you do?

A.

In Google Cloud, configure the VPC as a host for Shared VPC.

B.

In Google Cloud, configure the VPC for VPC Network Peering.

C.

Create bastion hosts both in your on-premises environment and on Google Cloud. Configure both as proxy servers using their public IP addresses.

D.

Set up Cloud VPN between the infrastructure on-premises and Google Cloud.

You have developed a containerized web application that will serve Internal colleagues during business hours. You want to ensure that no costs are incurred outside of the hours the application is used. You have just created a new Google Cloud project and want to deploy the application. What should you do?

A.

Deploy the container on Cloud Run for Anthos, and set the minimum number of instances to zero

B.

Deploy the container on Cloud Run (fully managed), and set the minimum number of instances to zero.

C.

Deploy the container on App Engine flexible environment with autoscaling. and set the value min_instances to zero in the app yaml

D.

Deploy the container on App Engine flexible environment with manual scaling, and set the value instances to zero in the app yaml

You significantly changed a complex Deployment Manager template and want to confirm that the dependencies of all defined resources are properly met before committing it to the project. You want the most rapid feedback on your changes. What should you do?

A.

Use granular logging statements within a Deployment Manager template authored in Python.

B.

Monitor activity of the Deployment Manager execution on the Stackdriver Logging page of the GCP Console.

C.

Execute the Deployment Manager template against a separate project with the same configuration, and monitor for failures.

D.

Execute the Deployment Manager template using the –-preview option in the same project, and observe the state of interdependent resources.

You need to configure optimal data storage for files stored in Cloud Storage for minimal cost. The files are used in a mission-critical analytics pipeline that is used continually. The users are in Boston, MA (United States). What should you do?

A.

Configure regional storage for the region closest to the users Configure a Nearline storage class

B.

Configure regional storage for the region closest to the users Configure a Standard storage class

C.

Configure dual-regional storage for the dual region closest to the users Configure a Nearline storage class

D.

Configure dual-regional storage for the dual region closest to the users Configure a Standard storage class

You are storing sensitive information in a Cloud Storage bucket. For legal reasons, you need to be able to record all requests that read any of the stored data. You want to make sure you comply with these requirements. What should you do?

A.

Enable the Identity Aware Proxy API on the project.

B.

Scan the bucker using the Data Loss Prevention API.

C.

Allow only a single Service Account access to read the data.

D.

Enable Data Access audit logs for the Cloud Storage API.

You are building a multi-player gaming application that will store game information in a database. As the popularity of the application increases, you are concerned about delivering consistent performance. You need to ensure an optimal gaming performance for global users, without increasing the management complexity. What should you do?

A.

Use Cloud SQL database with cross-region replication to store game statistics in the EU, US, and APAC regions.

B.

Use Cloud Spanner to store user data mapped to the game statistics.

C.

Use BigQuery to store game statistics with a Redis on Memorystore instance in the front to provide global consistency.

D.

Store game statistics in a Bigtable database partitioned by username.

You are hosting an application from Compute Engine virtual machines (VMs) in us–central1–a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

A.

– Create Compute Engine resources in us–central1–b.–Balance the load across both us–central1–a and us–central1–b.

B.

– Create a Managed Instance Group and specify us–central1–a as the zone.–Configure the Health Check with a short Health Interval.

C.

– Create an HTTP(S) Load Balancer.–Create one or more global forwarding rules to direct traffic to your VMs.

D.

– Perform regular backups of your application.–Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.–Restore from backups when notified.

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.

Create a Service Account in your own project, and grant this Service Account access to BigGuery in your project

B.

Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project

C.

Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project

D.

Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project

You have production and test workloads that you want to deploy on Compute Engine. Production VMs need to be in a different subnet than the test VMs. All the VMs must be able to reach each other over internal IP without creating additional routes. You need to set up VPC and the 2 subnets. Which configuration meets these requirements?

A.

Create a single custom VPC with 2 subnets. Create each subnet in a different region and with a different CIDR range.

B.

Create a single custom VPC with 2 subnets. Create each subnet in the same region and with the same CIDR range.

C.

Create 2 custom VPCs, each with a single subnet. Create each subnet is a different region and with a different CIDR range.

D.

Create 2 custom VPCs, each with a single subnet. Create each subnet in the same region and with the same CIDR range.

Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

A.

1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery jobUser role to the group.

B.

1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery dataViewer user role to the group.

C.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery jobUser role to the group.

D.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery dataViewer user role to the group.