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You are developing your microservices application on Google Kubernetes Engine. During testing, you want to validate the behavior of your application in case a specific microservice should suddenly crash. What should you do?

A.

Add a taint to one of the nodes of the Kubernetes cluster. For the specific microservice, configure a pod anti-affinity label that has the name of the tainted node as a value.

B.

Use Istio’s fault injection on the particular microservice whose faulty behavior you want to simulate.

C.

Destroy one of the nodes of the Kubernetes cluster to observe the behavior.

D.

Configure Istio’s traffic management features to steer the traffic away from a crashing microservice.

Your company is planning to upload several important files to Cloud Storage. After the upload is completed, they want to verify that the upload content is identical to what they have on- premises. You want to minimize the cost and effort of performing this check. What should you do?

A.

1) Use gsutil -m to upload all the files to Cloud Storage.

2) Use gsutil cp to download the uploaded files

3) Use Linux diff to compare the content of the files

B.

1) Use gsutil -m to upload all the files to Cloud Storage.

2) Develop a custom Java application that computes CRC32C hashes

3) Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files

4)Compare the hashes

C.

1) Use Linux shasum to compute a digest of files you want to upload

2) Use gsutil -m to upload all the files to the Cloud Storage

3) Use gsutil cp to download the uploaded files

4) Use Linux shasum to compute a digest of the downloaded files 5.Compre the hashes

D.

1)Use gsutil -m to upload all the files to Cloud Storage.

2)Use gsutil hash -c FILE_NAME to generate CRC32C hashes of all on-premises files

3)Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files

4)Compare the hashes

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.

Your company has announced that they will be outsourcing operations functions. You want to allow developers to easily stage new versions of a cloud-based application in the production environment and allow the outsourced operations team to autonomously promote staged versions to production. You want to minimize the operational overhead of the solution. Which Google Cloud product should you migrate to?

A.

App Engine

B.

GKE On-Prem

C.

Compute Engine

D.

Google Kubernetes Engine

For this question, refer to the Dress4Win case study.

At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

A.

Create a cron script using gsutil to copy the files to a Coldline Storage bucket.

B.

Create a cron script using gsutil to copy the files to a Regional Storage bucket.

C.

Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.

D.

Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.

For this question, refer to the Dress4Win case study.

Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation. What should you advise?

A.

Identify self-contained applications with external dependencies as a first move to the cloud.

B.

Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.

C.

Suggest moving their in-house databases to the cloud and continue serving requests to on-premise applications.

D.

Recommend moving their message queuing servers to the cloud and continue handling requests to on-premise applications.

For this question, refer to the Dress4Win case study.

Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

A.

Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.

B.

Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.

C.

Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.

D.

Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.

Dress4win has end to end tests covering 100% of their endpoints.

They want to ensure that the move of cloud does not introduce any new bugs.

Which additional testing methods should the developers employ to prevent an outage?

A.

They should run the end to end tests in the cloud staging environment to determine if the code is working as

intended.

B.

They should enable google stack driver debugger on the application code to show errors in the code

C.

They should add additional unit tests and production scale load tests on their cloud staging environment.

D.

They should add canary tests so developers can measure how much of an impact the new release causes to latency

For this question, refer to the Dress4Win case study.

As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The customer has exclusive control over who may view these images. Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in. Which configuration should Dress4Win use?

A.

Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that maps each customer's ID and their image files.

B.

Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in Cloud Storage that contains the customer's unique ID.

C.

Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring privacy of images.

D.

Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's ID to their image files.

For this question, refer to the Dress4Win case study.

Dress4Win has end-to-end tests covering 100% of their endpoints. They want to ensure that the move to the cloud does not introduce any new bugs. Which additional testing methods should the developers employ to prevent an outage?

A.

They should enable Google Stackdriver Debugger on the application code to show errors in the code.

B.

They should add additional unit tests and production scale load tests on their cloud staging environment.

C.

They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.

D.

They should add canary tests so developers can measure how much of an impact the new release causes to latency.