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Viewing page 11 out of 11 pages
Viewing questions 101-110 out of questions
Questions # 101:

You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google-recommended practices to provide the application with access to Cloud Storage. What should you do?

Options:

A.

1. Use nslookup to get the IP address for storage.googleapis.com.2. Negotiate with the security team to be able to give a public IP address to the servers.3. Only allow egress traffic from those servers to the IP addresses for storage.googleapis.com.

B.

1. Using Cloud VPN, create a VPN tunnel to a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP).2. In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance.3. Configure your servers to use that instance as a proxy to access Cloud Storage.

C.

1. Use Migrate for Compute Engine (formerly known as Velostrata) to migrate those servers to Compute Engine.2. Create an internal load balancer (ILB) that uses storage.googleapis.com as backend.3. Configure your new instances to use this ILB as proxy.

D.

1. Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP.2. Use Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.3. In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com.

Questions # 102:

You created a Kubernetes deployment by running kubectl run nginx image=nginx replicas=1. After a few days, you decided you no longer want this deployment. You identified the pod and deleted it by running kubectl delete pod. You noticed the pod got recreated.

$ kubectlgetpods

NAME READY STATUS RESTARTS AGE

nginx-84748895c4-nqqmt 1/1 Running 0 9m41s

$ kubectldeletepod nginx-84748895c4-nqqmt

pod nginx-84748895c4-nqqmt deleted

$ kubectlgetpods

NAME READY STATUS RESTARTS AGE

nginx-84748895c4-k6bzl 1/1 Running 0 25s

What should you do to delete the deployment and avoid pod getting recreated?

Options:

A.

kubectl delete deployment nginx

B.

kubectl delete –deployment=nginx

C.

kubectl delete pod nginx-84748895c4-k6bzl –no-restart 2

D.

kubectl delete inginx

Questions # 103:

You are building an application that stores relational data from users. Users across the globe will use this application. Your CTO is concerned about the scaling requirements because the size of the user base is unknown. You need to implement a database solution that can scale with your user growth with minimum configuration changes. Which storage solution should you use?

Options:

A.

Cloud SQL

B.

Cloud Spanner

C.

Cloud Firestore

D.

Cloud Datastore

Questions # 104:

You are running a web application on Cloud Run for a few hundred users. Some of your users complain that the initial web page of the application takes much longer to load than the following pages. You want to follow Google's recommendations to mitigate the issue. What should you do?

Options:

A.

Update your web application to use the protocol HTTP/2 instead of HTTP/1.1

B.

Set the concurrency number to 1 for your Cloud Run service.

C.

Set the maximum number of instances for your Cloud Run service to 100.

D.

Set the minimum number of instances for your Cloud Run service to 3.

Questions # 105:

You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

Options:

A.

Use the BigQuery interface to review the nightly Job and look for any errors

B.

Review the Error Reporting page in the Cloud Console to find any errors.

C.

In Cloud Logging create a filter for your Data Studio report

D.

Use the open source CLI tool. Snapshot Debugger, to find out why the data was not refreshed correctly.

Questions # 106:

You are asked to set up application performance monitoring on Google Cloud projects A, B, and C as a single pane of glass. You want to monitor CPU, memory, and disk. What should you do?

Options:

A.

Enable API and then share charts from project A, B, and C.

B.

Enable API and then give the metrics.reader role to projects A, B, and C.

C.

Enable API and then use default dashboards to view all projects in sequence.

D.

Enable API, create a workspace under project A, and then add project B and C.

Questions # 107:

You recently received a new Google Cloud project with an attached billing account where you will work. You need to create instances, set firewalls, and store data in Cloud Storage. You want to follow Google-recommended practices. What should you do?

Options:

A.

Use the gcloud CLI services enablecloudresourcemanager.googleapis.comcommand to enable all resources.

B.

Use the gcloud services enablecompute.googleapis.comcommand to enable Compute Engineand thegcloud services enablestorage-api.googleapis.comcommand to enable the Cloud Storage APIs.

C.

Open the Google Cloud console and enable all Google Cloud APIs from the API dashboard.

D.

Open the Google Cloud console and run gcloud init --project in a Cloud Shell.

Questions # 108:

You created several resources in multiple Google Cloud projects. All projects are linked to different billing accounts. To better estimate future charges, you want to have a single visual representation of all costs incurred. You want to include new cost data as soon as possible. What should you do?

Options:

A.

Configure Billing Data Export to BigQuery and visualize the data in Data Studio.

B.

Visit the Cost Table page to get a CSV export and visualize it using Data Studio.

C.

Fill all resources in the Pricing Calculator to get an estimate of the monthly cost.

D.

Use the Reports view in the Cloud Billing Console to view the desired cost information.

Questions # 109:

Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on-premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes.

What should you do?

Options:

A.

Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.

B.

Create a private zone on Cloud DNS, and configure the applications with the DNS name.

C.

Configure the IP of the database as custom metadata for each instance, and query the metadata server.

D.

Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.

Questions # 110:

You have an application that looks for its licensing server on the IP 10.0.3.21. You need to deploy the licensing server on Compute Engine. You do not want to change the configuration of the application and want the application to be able to reach the licensing server. What should you do?

Options:

A.

Reserve the IP 10.0.3.21 as a static internal IP address using gcloud and assign it to the licensing server.

B.

Reserve the IP 10.0.3.21 as a static public IP address using gcloud and assign it to the licensing server.

C.

Use the IP 10.0.3.21 as a custom ephemeral IP address and assign it to the licensing server.

D.

Start the licensing server with an automatic ephemeral IP address, and then promote it to a static internal IP address.

Viewing page 11 out of 11 pages
Viewing questions 101-110 out of questions