Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

A.

Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.

B.

Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.

C.

Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.

D.

Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your
data.

As part of implementing their disaster recovery plan, your company is trying to replicate their production
MySQL database from their private data center to their GCP project using a Google Cloud VPN connection. They are experiencing latency issues and a small amount of packet loss that is disrupting the replication. What should they do?

A.

Configure their replication to use UDP.

B.

Configure a Google Cloud Dedicated Interconnect.

C.

Restore their database daily using Google Cloud SQL.

D.

Add additional VPN connections and load balance them.

E.

Send the replicated transaction to Google Cloud Pub/Sub

Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes
can easily be rolled back

A.

Use Spinnaker to deploy builds to production and run tests on production deployments.

B.

Use Jenkins to build the staging branches and the master branch. Build and deploy changes to
production for 10% of users before doing a complete rollout.

C.

Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
After testing, tag the repository for production and deploy that to the production environment.

You want to establish a Compute Engine application in a single VPC across two regions. The application must communicate over VPN to an on-premises network. How should you deploy the VPN?

A.

Use VPC Network Peering between the VPC and the on-premises network.

B.

Expose the VPC to the on-premises network using IAM and VPC Sharing.

C.

Create a global Cloud VPN Gateway with VPN tunnels from each region to the on-premises peer
gateway.

D.

Deploy Cloud VPN Gateway in each region. Ensure that each region has at least one VPN tunnel to the
onpremises peer gateway.

Your company pushes batches of sensitive transaction data from its application server VMs to Cloud Pub/Sub for processing and storage. What is the Google-recommended way for your application to authenticate to the required Google Cloud services?

A.

Ensure that VM service accounts are granted the appropriate Cloud Pub/Sub IAM roles.

B.

Ensure that VM service accounts do not have access to Cloud Pub/Sub, and use VM access scopes to
grant the appropriate Cloud Pub/Sub IAM roles.

C.

Generate an OAuth2 access token for accessing Cloud Pub/Sub, encrypt it, and store it in Cloud Storage
for access from each VM.

D.

Create a gateway to Cloud Pub/Sub using a Cloud Function, and grant the Cloud Function service
account the appropriate Cloud Pub/Sub IAM roles.

You need to evaluate your team readiness for a new GCP project. You must perform the evaluation and create a skills gap plan incorporates the business goal of cost optimization. Your team has deployed two GCP projects successfully to date. What should you do?

A.

Allocate budget for team training. Set a deadline for the new GCP project.

B.

Allocate budget for team training. Create a roadmap for your team to achieve Google Cloud certification
based on job role.

C.

Allocate budget to hire skilled external consultants. Set a deadline for the new GCP project

D.

Allocate budget to hire skilled external consultants. Create a roadmap for your team to achieve Google
Cloud certification based on job role

You need to set up Microsoft SQL Server on GCP. Management requires that there’s no downtime in case of a data center outage in any of the zones within a GCP region. What should you do?

A.

Configure a Cloud SQL instance with high availability enabled.

B.

Configure a Cloud Spanner instance with a regional instance configuration.

C.

Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover
Clustering. Place nodes in different subnets.

D.

Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in
different zones.

Your web application has several VM instances running within a VPC. You want to restrict communications between instances to only the paths and ports you authorize, but you don’t want to rely on static IP addresses or subnets because the app can autoscale. How should you restrict communications?

A.

Use separate VPCs to restrict traffic

B.

Use firewall rules based on network tags attached to the compute instances

C.

Use Cloud DNS and only allow connections from authorized hostnames

D.

Use service accounts and configure the web application particular service accounts to have access

Your company is running a stateless application on a Compute Engine instance. The application is used
heavily during regular business hours and lightly outside of business hours. Users are reporting that the
application is slow during peak hours. You need to optimize the application’s performance. What should you do?

A.

Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an
autoscaled managed instance group from the instance template

B.

Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled
managed instance group from the custom image.

C.

Create a custom image from the existing disk. Create an instance template from the custom image.
Create an autoscaled managed instance group from the instance template.

D.

Create an instance template from the existing disk. Create a custom image from the instance template.

E.

Create an autoscaled managed instance group from the custom image

Your applications will be writing their logs to BigQuery for analysis. Each application should have its own
table. Any logs older than 45 days should be removed. You want to optimize storage and follow Google
recommended practices. What should you do?

A.

Configure the expiration time for your tables at 45 days

B.

Make the tables time-partitioned, and configure the partition expiration at 45 days

C.

Rely on BigQuery’s default behavior to prune application logs older than 45 days

D.

Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days