[Nov-2023] Pass Google Associate-Cloud-Engineer Tests Engine pdf – All Free Dumps [Q144-Q165]

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[Nov-2023] Pass Google Associate-Cloud-Engineer Tests Engine pdf – All Free Dumps

Google Associate Cloud Engineer Exam Practice Tests 2023 | Pass Associate-Cloud-Engineer with confidence!

Q144. You have been asked to set up Object Lifecycle Management for objects stored in storage buckets. The objects are written once and accessed frequently for 30 days. After 30 days, the objects are not read again unless there is a special need. The object should be kept for three years, and you need to minimize cost. What should you do?

Set up a policy that uses Nearline storage for 30 days and then moves to Archive storage for three years.

Set up a policy that uses Standard storage for 30 days and then moves to Archive storage for three years.

Set up a policy that uses Nearline storage for 30 days, then moves the Coldline for one year, and then moves to Archive storage for two years.

Set up a policy that uses Standard storage for 30 days, then moves to Coldline for one year, and then moves to Archive storage for two years.

Explanation
The key to understand the requirement is : “The objects are written once and accessed frequently for 30 days” Standard Storage Standard Storage is best for data that is frequently accessed (“hot” data) and/or stored for only brief periods of time.
Archive Storage
Archive Storage is the lowest-cost, highly durable storage service for data archiving, online backup, and disaster recovery. Unlike the “coldest” storage services offered by other Cloud providers, your data is available within milliseconds, not hours or days. Archive Storage is the best choice for data that you plan to access less than once a year.
https://cloud.google.com/storage/docs/storage-classes#standard

Q145. 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?

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

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

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

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

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

Q146. You are migrating a production-critical on-premises application that requires 96 vCPUs to perform its task. You want to make sure the application runs in a similar environment on GCP. What should you do?

When creating the VM, use machine type n1-standard-96.

When creating the VM, use Intel Skylake as the CPU platform.

Create the VM using Compute Engine default settings. Use gcloud to modify the running instance to have 96 vCPUs.

Start the VM using Compute Engine default settings, and adjust as you go based on Rightsizing Recommendations.

https://cloud.google.com/compute/docs/machine-types

Q147. You need to create an autoscaling managed instance group for an HTTPS web application. You want to make sure that unhealthy VMs are recreated. What should you do?

Create a health check on port 443 and use that when creating the Managed Instance Group.

Select Multi-Zone instead of Single-Zone when creating the Managed Instance Group.

In the Instance Template, add the label ‘health-check’.

In the Instance Template, add a startup script that sends a heartbeat to the metadata server.

Explanation
https://cloud.google.com/compute/docs/instance-groups/autohealing-instances-in-migs#setting_up_an_autohealin

Q148. You need to manage a Cloud Spanner Instance for best query performance. Your instance in production runs in a single Google Cloud region. You need to improve performance in the shortest amount of time. You want to follow Google best practices for service configuration. What should you do?

Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 45% If you exceed this threshold, add nodes lo your instance.

Create an alert in Cloud Monitoring to alert when the percentage ot high priority CPU utilization reaches 45% Use database query statistics to identify queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage

Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65% If you exceed this threshold, add nodes to your instance

Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65%. Use database query statistics to identity queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage.

Q149. You are given a project with a single virtual private cloud (VPC) and a single subnetwork in the us-central1 region. There is a Compute Engine instance hosting an application in this subnetwork. You need to deploy a new instance in the same project in the europe-west1 region. This new instance needs access to the application. You want to follow Google-recommended practices. What should you do?

1. Create a subnetwork in the same VPC, in europe-west1.2. Create the new instance in the new subnetwork and use the first instance’s private address as the endpoint.

1. Create a VPC and a subnetwork in europe-west1.2. Expose the application with an internal load balancer.3. Create the new instance in the new subnetwork and use the load balancer’s address as the endpoint.

1. Create a subnetwork in the same VPC, in europe-west1.2. Use Cloud VPN to connect the two subnetworks.3. Create the new instance in the new subnetwork and use the first instance’s private address as the endpoint.

1. Create a VPC and a subnetwork in europe-west1.2. Peer the 2 VPCs.3. Create the new instance in the new subnetwork and use the first instance’s private address as the endpoint.

Q150. Your projects incurred more costs than you expected last month. Your research reveals that a development GKE container emitted a huge number of logs, which resulted in higher costs. You want to disable the logs quickly using the minimum number of steps. What should you do?

1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE container resource.

1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE Cluster Operations resource.

1. Go to the GKE console, and delete existing clusters.
2. Recreate a new cluster.
3. Clear the option to enable legacy Stackdriver Logging.

1. Go to the GKE console, and delete existing clusters.
2. Recreate a new cluster.
3. Clear the option to enable legacy Stackdriver Monitoring.

GKE Containers have more log than GKE Cluster Operations:
.-GKE Containe:
cluster_name: An immutable name for the cluster the container is running in.
namespace_id: Immutable ID of the cluster namespace the container is running in.
instance_id: Immutable ID of the GCE instance the container is running in.
pod_id: Immutable ID of the pod the container is running in.
container_name: Immutable name of the container.
zone: The GCE zone in which the instance is running.
VS
.-GKE Cluster Operations
project_id: The identifier of the GCP project associated with this resource, such as “my-project”.
cluster_name: The name of the GKE Cluster.
location: The location in which the GKE Cluster is running.
https://cloud.google.com/logging/docs/api/v2/resource-list

Q151. 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?

Enable the Identity Aware Proxy API on the project.

Scan the bucker using the Data Loss Prevention API.

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

Enable Data Access audit logs for the Cloud Storage API.

Q152. 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?

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

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

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

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

Explanation/Reference:

Q153. Your organization has strict requirements to control access to Google Cloud projects. You need to enable your Site Reliability Engineers (SREs) to approve requests from the Google Cloud support team when an SRE opens a support case. You want to follow Google-recommended practices. What should you do?

Add your SREs to roles/iam.roleAdmin role.

Add your SREs to roles/accessapproval approver role.

Add your SREs to a group and then add this group to roles/iam roleAdmin role.

Add your SREs to a group and then add this group to roles/accessapproval approver role.

Q154. You have a web application deployed as a managed instance group. You have a new version of the application to gradually deploy. Your web application is currently receiving live web traffic.
You want to ensure that the available capacity does not decrease during the deployment. What should you do?

Perform a rolling-action start-update with maxSurge set to 0 and maxUnavailable set to 1.

Perform a rolling-action start-update with maxSurge set to 1 and maxUnavailable set to 0.

Create a new managed instance group with an updated instance template.
Add the group to the backend service for the load balancer.
When all instances in the new managed instance group are healthy, delete the old managed instance group.

Create a new instance template with the new application version.
Update the existing managed instance group with the new instance template.
Delete the instances in the managed instance group to allow the managed instance group to recreate the instance using the new instance template.

Q155. You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your dat a. Your users need to be able to access this archived data once a quarter for some regulatory requirements. You want to select a cost-efficient option. Which storage option should you use?

Cold Storage

Nearline Storage

Regional Storage

Multi-Regional Storage

Nearline, Coldline, and Archive offer ultra low-cost, highly-durable, highly available archival storage. For data accessed less than once a year, Archive is a cost-effective storage option for long-term preservation of data.
Coldline is also ideal for cold storage-data your business expects to touch less than once a quarter. For warmer storage, choose Nearline: data you expect to access less than once a month, but possibly multiple times throughout the year. All storage classes are available across all GCP regions and provide unparalleled sub-second access speeds with a consistent API.
Reference:
https://cloud.google.com/storage/archival

Q156. You need to create a new billing account and then link it with an existing Google Cloud Platform project.
What should you do?

Verify that you are Project Billing Manager for the GCP project.
Update the existing project to link it to the existing billing account.

Verify that you are Project Billing Manager for the GCP project.
Create a new billing account and link the new billing account to the existing project.

Verify that you are Billing Administrator for the billing account.
Create a new project and link the new project to the existing billing account.

Verify that you are Billing Administrator for the billing account.
Update the existing project to link it to the existing billing account.

Q157. Your development team needs a new Jenkins server for their project. You need to deploy the server using the fewest steps possible. What should you do?

Download and deploy the Jenkins Java WAR to App Engine Standard.

Create a new Compute Engine instance and install Jenkins through the command line interface.

Create a Kubernetes cluster on Compute Engine and create a deployment with the Jenkins Docker image.

Use GCP Marketplace to launch the Jenkins solution.

Explanation/Reference: https://cloud.google.com/solutions/using-jenkins-for-distributed-builds-on-compute-engine

Q158. Your company set up a complex organizational structure on Google Could Platform. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure.
You need to assign minimum permissions to these team members and you want to follow Google- recommended practices. What should you do?

Add the users to roles/browser role.

Add the users to roles/iam.roleViewer role.

Add the users to a group, and add this group to roles/browser role.

Add the users to a group, and add this group to roles/iam.roleViewer role.

Q159. You deployed an LDAP server on Compute Engine that is reachable via TLS through port 636 using UDP. You want to make sure it is reachable by clients over that port. What should you do?

Add the network tag allow-udp-636 to the VM instance running the LDAP server.

Create a route called allow-udp-636 and set the next hop to be the VM instance running the LDAP server.

Add a network tag of your choice to the instance. Create a firewall rule to allow ingress on UDP port 636 for that network tag.

Add a network tag of your choice to the instance running the LDAP server. Create a firewall rule to allow egress on UDP port 636 for that network tag.

Q160. You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?

Create a Cloud Bigtable cluster and use the HBase API

Deploy MongoDB Alias from the Google Cloud Marketplace

Download a MongoDB installation package and run it on Compute Engine instances

Download a MongoDB installation package, and run it on a Managed Instance Group

MongoDB Atlas is actually managed and supported by third-party service providers.
https://console.cloud.google.com/marketplace/details/gc-launcher-for-mongodb-atlas/mongodb- atlas

Q161. You need to configure IAM access audit logging in BigQuery for external auditors. You want to follow Google-recommended practices. What should you do?

Add the auditors group to the ‘logging.viewer’ and ‘bigQuery.dataViewer’ predefined IAM roles.

Add the auditors group to two new custom IAM roles.

Add the auditor user accounts to the ‘logging.viewer’ and ‘bigQuery.dataViewer’ predefined IAM roles.

Add the auditor user accounts to two new custom IAM roles.

https://cloud.google.com/iam/docs/job-functions/auditing#scenario_external_auditors Because if you directly add users to the IAM roles, then if any users left the organization then you have to remove the users from multiple places and need to revoke his/her access from multiple places. But, if you put a user into a group then its very easy to manage these type of situations. Now, if any user left then you just need to remove the user from the group and all the access got revoked The organization creates a Google group for these external auditors and adds the current auditor to the group. This group is monitored and is typically granted access to the dashboard application. During normal access, the auditors’ Google group is only granted access to view the historic logs stored in BigQuery. If any anomalies are discovered, the group is granted permission to view the actual Cloud Logging Admin Activity logs via the dashboard’s elevated access mode. At the end of each audit period, the group’s access is then revoked. Data is redacted using Cloud DLP before being made accessible for viewing via the dashboard application. The table below explains IAM logging roles that an Organization Administrator can grant to the service account used by the dashboard, as well as the resource level at which the role is granted.

Q162. You need to create a Compute Engine instance in a new project that doesn’t exist yet. What should you do?

Using the Cloud SDK, create a new project, enable the Compute Engine API in that project, and then create the instance specifying your new project.

Enable the Compute Engine API in the Cloud Console, use the Cloud SDK to create the instance, and then use the –project flag to specify a new project.

Using the Cloud SDK, create the new instance, and use the –project flag to specify the new project.
Answer yes when prompted by Cloud SDK to enable the Compute Engine API.

Enable the Compute Engine API in the Cloud Console. Go to the Compute Engine section of the Console to create a new instance, and look for the Create In A New Project option in the creation form.

Explanation
https://cloud.google.com/sdk/gcloud/reference/projects/create
Quickstart: Creating a New Instance Using the Command Line
Before you begin
1. In the Cloud Console, on the project selector page, select or create a Cloud project.
2. Make sure that billing is enabled for your Google Cloud project. Learn how to confirm billing is enabled for your project.
To use the gcloud command-line tool for this quickstart, you must first install and initialize the Cloud SDK:
1. Download and install the Cloud SDK using the instructions given on Installing Google Cloud SDK.
2. Initialize the SDK using the instructions given on Initializing Cloud SDK.
To use gcloud in Cloud Shell for this quickstart, first activate Cloud Shell using the instructions given on Starting Cloud Shell.
https://cloud.google.com/ai-platform/deep-learning-vm/docs/quickstart-cli#before-you-begin

Q163. You have a project for your App Engine application that serves a development environment. The required testing has succeeded and you want to create a new project to serve as your production environment.
What should you do?

Use gcloud to create the new project, and then deploy your application to the new project.

Use gcloud to create the new project and to copy the deployed application to the new project.

Create a Deployment Manager configuration file that copies the current App Engine deployment into a new project.

Deploy your application again using gcloud and specify the project parameter with the new project name to create the new project.

gcloud can be used to create a new project and the gcloud app deploy can point to the new project.

Q164. You want to run a single caching HTTP reverse proxy on GCP for a latency-sensitive website. This specific reverse proxy consumes almost no CPU. You want to have a 30-GB in-memory cache, and need an additional 2 GB of memory for the rest of the processes. You want to minimize cost. How should you run this reverse proxy?

Create a Cloud Memorystore for Redis instance with 32-GB capacity.

Run it on Compute Engine, and choose a custom instance type with 6 vCPUs and 32 GB of memory.

Package it in a container image, and run it on Kubernetes Engine, using n1-standard-32 instances as nodes.

Run it on Compute Engine, choose the instance type n1-standard-1, and add an SSD persistent disk of 32 GB.

What is Google Cloud Memorystore?
Overview. Cloud Memorystore for Redis is a fully managed Redis service for Google Cloud Platform. Applications running on Google Cloud Platform can achieve extreme performance by leveraging the highly scalable, highly available, and secure Redis service without the burden of managing complex Redis deployments.

Q165. 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?

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

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

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

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

https://cloud.google.com/monitoring/settings/multiple-projects
https://cloud.google.com/monitoring/workspaces

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