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Associate Cloud Engineer: Associate Cloud Engineer
Exam Questions:
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The Associate Cloud Engineer exam is crucial for IT professionals aiming to validate their skills in managing and securing cloud solutions on the Google Cloud Platform. To increase your chances of passing, practicing with real exam questions shared by those who have succeeded can be invaluable. In this guide, we’ll provide you with practice test questions and answers offering insights directly from candidates who have already passed the exam.
Exam Details:
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Exam Name: Associate Cloud Engineer
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Length of test: 2 hours (120 minutes)
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Exam Format: Multiple-choice and multiple-select questions
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Exam Language: English
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Number of questions in the actual exam: 50-60 questions
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Passing Score: 70%
Why Use Associate Cloud Engineer Practice Test?
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Real Exam Experience: Our practice tests accurately replicate the format and difficulty of the actual Associate Cloud Engineer exam, providing you with a realistic preparation experience.
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Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.
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Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.
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Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.
Key Features of Associate Cloud Engineer Practice Test:
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Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.
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Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.
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Comprehensive Coverage: The practice tests cover all key topics of the Associate Cloud Engineer exam, including cloud infrastructure, security, and deployment strategies.
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Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.
Use the member-shared Associate Cloud Engineer Practice Tests to ensure you're fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!
Related questions
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?
Explanation:
https://cloud.google.com/config-connector/docs/how-to/secrets#gcloud
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:
What is the most likely cause?
Explanation:
The pending Pods resource requests are too large to fit on a single node of the cluster. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod. is the right answer.
When you have a deployment with some pods in running and other pods in the pending state, more often than not it is a problem with resources on the nodes. Heres a sample output of this use case. We see that the problem is with insufficient CPU on the Kubernetes nodes so we have to either enable auto-scaling or manually scale up the nodes.
You need to create a copy of a custom Compute Engine virtual machine (VM) to facilitate an expected increase in application traffic due to a business acquisition. What should you do?
Explanation:
A custom image belongs only to your project. To create an instance with a custom image, you must first have a custom image.
Preparing your instance for an image
You can create an image from a disk even while it is attached to a running VM instance. However, your image will be more reliable if you put the instance in a state that is easier for the image to capture. Use one of the following processes to prepare your boot disk for the image:
Stop the instance so that it can shut down and stop writing any data to the persistent disk.
If you can't stop your instance before you create the image, minimize the amount of writes to the disk and sync your file system.
Pause apps or operating system processes that write data to that persistent disk.
Run an app flush to disk if necessary. For example, MySQL has a FLUSH statement. Other apps might have similar processes.
Stop your apps from writing to your persistent disk.
Run sudo sync.
After you prepare the instance, create the image.
https://cloud.google.com/compute/docs/images/create-delete-deprecate-private-images#prepare_instance_for_image
Your Dataproc cluster runs in a single Virtual Private Cloud (VPC) network in a single subnet with range 172.16.20.128/25. There are no private IP addresses available in the VPC network. You want to add new VMs to communicate with your cluster using the minimum number of steps. What should you do?
Explanation:
/25:
CIDR to IP Range
Result
CIDR Range 172.16.20.128/25
Netmask 255.255.255.128
Wildcard Bits 0.0.0.127
First IP 172.16.20.128
First IP (Decimal) 2886734976
Last IP 172.16.20.255
Last IP (Decimal) 2886735103
Total Host 128
CIDR
172.16.20.128/25
/24:
CIDR to IP Range
Result
CIDR Range 172.16.20.128/24
Netmask 255.255.255.0
Wildcard Bits 0.0.0.255
First IP 172.16.20.0
First IP (Decimal) 2886734848
Last IP 172.16.20.255
Last IP (Decimal) 2886735103
Total Host 256
CIDR
172.16.20.128/24
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your dat
Explanation:
Coldline Storage is a very-low-cost, highly durable storage service for storing infrequently accessed data. Coldline Storage is ideal for data you plan to read or modify at most once a quarter. Since we have a requirement to access data once a quarter and want to go with the most cost-efficient option, we should select Coldline Storage.
Ref:https://cloud.google.com/storage/docs/storage-classes#coldline
Users of your application are complaining of slowness when loading the application. You realize the slowness is because the App Engine deployment serving the application is deployed in us-central whereas all users of this application are closest to europe-west3. You want to change the region of the App Engine application to europe-west3 to minimize latency. What's the best way to change the App Engine region?
Explanation:
App engine is a regional service, which means the infrastructure that runs your app(s) is located in a specific region and is managed by Google to be redundantly available across all the zones within that region. Once an app engine deployment is created in a region, it cant be changed. The only way is to create a new project and create an App Engine instance in europe-west3, send all user traffic to this instance and delete the app engine instance in us-central.
Ref:https://cloud.google.com/appengine/docs/locations
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?
Explanation:
Cloud Loging knows nothing about applications installed on the system without an agent collecting logs. Using the serial console is not a best-practice and is impractical on a large scale.
The VM images for Compute Engine and Amazon Elastic Compute Cloud (EC2) don't include the Logging agent, so you must complete these steps to install it on those instances. The agent runs under both Linux and Windows. Source: https://cloud.google.com/logging/docs/agent/logging/installation
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?
Explanation:
Ref:https://cloud.google.com/compute/docs/instances/setting-instance-scheduling-options#autorestart
Enabling the Migrate VM Instance option migrates your instance away from an infrastructure maintenance event, and your instance remains running during the migration. Your instance might experience a short period of decreased performance, although generally, most instances should not notice any difference. This is ideal for instances that require constant uptime and can tolerate a short period of decreased performance. Ref:https://cloud.google.com/compute/docs/instances/setting-instance-scheduling-options#live_migrate
You have downloaded and installed the gcloud command line interface (CLI) and have authenticated with your Google Account. Most of your Compute Engine instances in your project run in the europe-west1-d zone. You want to avoid having to specify this zone with each CLI command when managing these instances. What should you do?
Explanation:
Change your default zone and region in the metadata server Note: This only applies to the default configuration. You can change the default zone and region in your metadata server by making a request to the metadata server. For example: gcloud compute project-info add-metadata \ --metadata google-compute-default-region=europe-west1,google-compute-default-zone=europe-west1-b The gcloud command-line tool only picks up on new default zone and region changes after you rerun the gcloud init command. After updating your default metadata, run gcloud init to reinitialize your default configuration. https://cloud.google.com/compute/docs/gcloud-compute#change_your_default_zone_and_region_in_the_metadata_server
You are analyzing Google Cloud Platform service costs from three separate projects. You want to use this information to create service cost estimates by service type, daily and monthly, for the next six months using standard query syntax. What should you do?
Explanation:
'...we recommend that you enable Cloud Billing data export to BigQuery at the same time that you create a Cloud Billing account. ' https://cloud.google.com/billing/docs/how-to/export-data-bigquery
https://medium.com/google-cloud/analyzing-google-cloud-billing-data-with-big-query-30bae1c2aae4
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