The Best Practice Test Preparation for the Associate-Cloud-Engineer Certification Exam
Associate-Cloud-Engineer Exam Dumps, Practice Test Questions BUNDLE PACK
About the Exam
The Associate Cloud Engineer exam is 2-hour long, contains 50 multiple-choice and multiple-select questions, and is available in three languages: English, Spanish, and Japanese. You have the choice of taking the exam online or sit for it at one test center located near your area. This exam has a registration fee of $125 and no prerequisites. However, it is recommended that you have at least six months of practical experience working with Google Cloud before taking this test.
After you have passed the exam, you will be issued a digital badge and certificate upon completion of the Google verification. Each certificate contains a sequential number that reflects its position among the list of Google-certified individuals.
Moreover, the Google Associate Cloud Engineer certification is valid for only two years from the date you obtain it. Then, you have to recertify to maintain your certification status. That’s why you will be receiving notifications for renewals 90, 60, and 30 days before the expiration date.
NEW QUESTION 102
Developers are creating a new online transaction processing (OLTP) application for a small database that is very read-write intensive. A single table in the database is updated continuously throughout the day, and the developers want to ensure that the database performance is consistent.
Which Amazon EBS storage option will achieve the MOST consistent performance to help maintain application performance?
- A. Cold HDD
- B. Provisioned IOPS SSD
- C. General Purpose SSD
- D. Throughput Optimized HDD
Answer: B
Explanation:
Explanation
NEW QUESTION 103
Which of the following is a valid use case for Flow Logs?
- A. Serving as a UDP relay.
- B. Network forensics.
- C. Blocking instances from communicating over certain ports.
- D. Proxying SSL traffic.
Answer: B
NEW QUESTION 104
You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?
- A. Create a docker image from the Dockerfile and upload it to Container Registry.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file. - B. Use gcloud app deploy <dockerfilename>.
- C. Use kubectl app deploy <dockerfilename>.
- D. Create a docker image from the Dockerfile and upload it to Cloud Storage.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file.
Answer: A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app
NEW QUESTION 105
You have created a new project in Google Cloud through the gcloud command line interface (CLI) and linked a billing account. You need to create a new Compute Engine instance using the CLI.
You need to perform the prerequisite stops. What should you do?
- A. Grant yourself the IAM role of Computer Admin.
- B. Create a VPC network in the project.
- C. Create a Cloud Monitoring Workspace.
- D. Enable the compute googleapis.com API.
Answer: D
Explanation:
Always grant access to apis first in order to use GCP services
NEW QUESTION 106
You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?
- A. With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.
- B. Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.
- C. Add the cluster's API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.
- D. In the cluster's definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.
Answer: A
NEW QUESTION 107
30. You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible. What should you do?
- A. Use the node pool with general-purpose machine type nodes for lite mage rendering microservice Create a nodepool with compute-optimized machine type nodes for the other microservices
- B. Create a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purpose machine type nodes for the other microservices
- C. Configure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment Keep the resource requests for the other microservices at the default
- D. Assign the pods of the image rendering microservice a higher pod priority than the older microservices
Answer: B
NEW QUESTION 108
You're working as a Cloud Engineer for a small company. The lead developer needs to create some new projects in order to get started with deploying the codebase. She tried to create a project and received an error. She messaged you on Slack to ask for help, though, she couldn't recall the exact error message. You checked and found that she does have Project Creator permissions. Keeping in mind the principle of least privilege, what is the best role to grant her so that she can create billable projects?
- A. The "Billing Account User" role.
- B. The "Billing Account Administrator" role.
- C. The "Billing Account Viewer" role.
- D. The "Project Owner" role.
Answer: A
NEW QUESTION 109
The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors.
You expect high throughput ?up to thousands of events per hour per device ?and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?
- A. Create a file in Cloud Filestore per device and append new data to that file.
- B. Create a file in Cloud Storage per device and append new data to that file.
- C. Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.
- D. Ingest the data into Datastore. Store data in an entity group based on the device.
Answer: C
Explanation:
Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT.
https://cloud.google.com/bigtable
NEW QUESTION 110
You need a dynamic way of provisioning VMs on Compute Engine. The exact specifications will be in a dedicated configuration file. You want to follow Google's recommended practices. Which method should you use?
- A. Managed Instance Group
- B. Cloud Composer
- C. Deployment Manager
- D. Unmanaged Instance Group
Answer: C
Explanation:
Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml. You can also use Python or Jinja2 templates to parameterize the configuration and allow reuse of common deployment paradigms such as a load balanced, auto-scaled instance group. Treat your configuration as code and perform repeatable deployments.
https://cloud.google.com/deployment-manager
NEW QUESTION 111
You have deployed an application on a single Compute Engine instance. The application writes logs to disk. Users start reporting errors with the application. You want to diagnose the problem.
What should you do?
- A. Connect to the instance's serial console and read the application logs.
- B. Configure a Health Check on the instance and set a Low Healthy Threshold value.
- C. Navigate to Cloud Logging and view the application logs.
- D. Install and configure the Cloud Logging Agent and view the logs from Cloud Logging.
Answer: C
Explanation:
https://cloud.google.com/error-reporting/docs/setup/compute-engine
NEW QUESTION 112
Every employee of your company has a Google account. Your operational team needs to manage a large number of instances on Compute Engine. Each member of this team needs only administrative access to the servers. Your security team wants to ensure that the deployment of credentials is operationally efficient and must be able to determine who accessed a given instance. What should you do?
- A. Generate a new SSH key pair. Give the private key to each member of your team. Configure the public key as a project-wide public SSH key in your Cloud Platform project and allow project-wide public SSH keys on each instance.
- B. Generate a new SSH key pair. Give the private key to each member of your team. Configure the public key in the metadata of each instance.
- C. Ask each member of the team to generate a new SSH key pair and to add the public key to their Google account. Grant the "compute.osAdminLogin" role to the Google group corresponding to this team.
- D. Ask each member of the team to generate a new SSH key pair and to send you their public key. Use a configuration management tool to deploy those keys on each instance.
Answer: C
Explanation:
https://cloud.google.com/compute/docs/instances/managing-instance-access
NEW QUESTION 113
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your data. 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?
- A. Regional Storage
- B. Multi-Regional Storage
- C. Cold Storage
- D. Nearline Storage
Answer: C
Explanation:
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
NEW QUESTION 114
You've deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:
You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?
- A. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.
- B. Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.
- C. Store the database password inside the Docker image of the container, not in the YAML file.
- D. Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.
Answer: A
NEW QUESTION 115
You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?
- A. Use gcloud app deploy <dockerfilename>.
- B. Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectlto create the deployment with that file.
- C. Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectlto create the deployment with that file.
- D. Use kubectl app deploy <dockerfilename>.
Answer: B
Explanation:
Explanation/Reference:
Reference https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app
NEW QUESTION 116
You need to configure optimal data storage for files stored in Cloud Storage for minimal cost. The files are used in a mission-critical analytics pipeline that is used continually. The users are in Boston, MA (United States). What should you do?
- A. Configure dual-regional storage for the dual region closest to the users.
Configure a Standard storage class - B. Configure dual-regional storage for the dual region closest to the users.
Configure a Nearline storage class - C. Configure regional storage for the region closest to the users.
Configure a Standard storage class - D. Configure regional storage for the region closest to the users.
Configure a Nearline storage class
Answer: C
Explanation:
Continuous access to data means Standard since all of the other options are for infrequently accessed storage (Nearline, Coldline, Archive). Since no other regions are mentioned, single region is best in this case.
NEW QUESTION 117
A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?
- A. Cloud Functions
- B. Google Kubernetes Engine
- C. Google Compute Engine
- D. Google App Engine
Answer: A
Explanation:
Cloud Functions is Google Cloud's event-driven serverless compute platform. It automatically scales based on the load and requires no additional configuration. You pay only for the resources used.
Ref: https://cloud.google.com/functions
While all other options i.e. Google Compute Engine, Google Kubernetes Engine, Google App Engine support autoscaling, it needs to be configured explicitly based on the load and is not as trivial as the scale up or scale down offered by Google's cloud functions.
NEW QUESTION 118
A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs.
You want to minimize cost. What should you do?
- A. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.
- B. Create a VerticalPodAutscaler for those workloads.
- C. Create a node pool with preemptible VMs and GPUs attached to those VMs.
- D. Enable node auto-provisioning on the GKE cluster.
Answer: A
Explanation:
If you need something for long-running, non-restartable jobs you don't use preemptible VMs.
NEW QUESTION 119
You need to create a custom VPC with a single subnet. The subnet's range must be as large as possible. Which range should you use?
- A. 172.16.0.0/12
- B. 10.0.0.0/8
- C. .00.0.0/0
- D. 192.168.0.0/16
Answer: B
Explanation:
https://cloud.google.com/vpc/docs/vpc#manually_created_subnet_ip_ranges
NEW QUESTION 120
You want to configure 10 Compute Engine instances for availability when maintenance occurs.
Your requirements state that these instances should attempt to automatically restart if they crash.
Also, the instances should be highly available including during system maintenance. What should you do?
- A. Create an instance group for the instances.
Set the `Autohealing' health check to healthy (HTTP). - B. Create an instance template for the instances.
Set the `Automatic Restart' to on. Set the `On-host maintenance' to Migrate VM instance.
Add the instance template to an intsance group. - C. Create an instance template for the instances.
`Automatic Restart' to off. Set `On-host maintenance' to Terminate VM instances.
Add the instance template to an instance group. - D. Create an instance group for the instance.
Verify that the `Advanced creation options' setting for `do not retry machine creation' is set to off.
Answer: C
NEW QUESTION 121
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