Winter Sale - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

Newly Released Google Associate-Cloud-Engineer Exam PDF

Google Cloud Certified - Associate Cloud Engineer Questions and Answers

Question 53

You create a new Google Kubernetes Engine (GKE) cluster and want to make sure that it always runs a supported and stable version of Kubernetes. What should you do?

Options:

A.

Enable the Node Auto-Repair feature for your GKE cluster.

B.

Enable the Node Auto-Upgrades feature for your GKE cluster.

C.

Select the latest available cluster version for your GKE cluster.

D.

Select “Container-Optimized OS (cos)” as a node image for your GKE cluster.

Question 54

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

Question 55

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?

Options:

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

Question 56

You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster. Each microservice is a deployment with resource limits configured for each container in the deployment. You've observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

Options:

A.

Modify the cluster's node pool machine type and choose a machine type with more memory and CPU.

B.

Configure a Horizontal Pod Autoscaler for each microservice.

C.

Configure GKE cluster autoscaling.

D.

Configure a Vertical Pod Autoscaler for each microservice.