Google Associate-Cloud-Engineer Latest Study Questions & Associate-Cloud-Engineer Valid Practice Questions

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Google Associate-Cloud-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Associate Cloud Engineer Exam
Exam Number:	Associate-Cloud-Engineer
Real Exam Qty:	50-60
Certificate Validity Period:	3 years
Related Certifications:	Professional Cloud Network Engineer Professional Cloud Architect Professional Cloud Security Engineer Professional Cloud Developer
Available Languages:	Spanish, Portuguese, Japanese, English
Exam Price:	$125 (plus tax where applicable)
Exam Format:	Multiple choice, Multiple select
Exam Duration:	120 minutes
Passing Score:	Not officially disclosed, estimated ~70-75%
Recommended Training:	Official Google Cloud Training Associate Cloud Engineer Exam Guide
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Associate-Cloud-Engineer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at authorized test centers
Pre Condition:	No mandatory prerequisites; recommended 6+ months hands-on experience with Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-engineer

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Google Associate Cloud Engineer Certification Exam is a valuable certification that can help individuals boost their career prospects and increase their earning potential. Google Associate Cloud Engineer Exam certification is recognized globally and is highly respected in the cloud computing industry. By obtaining this certification, professionals can demonstrate their ability to design, develop, and manage cloud solutions on the Google Cloud Platform, which can open up numerous job opportunities in various industries. Overall, the Google Associate Cloud Engineer Certification Exam is an excellent choice for professionals who want to enhance their skills and advance their career in cloud computing.

Google Associate Cloud Engineer Exam Sample Questions (Q232-Q237):

NEW QUESTION # 232
You are building a product on top of Google Kubernetes Engine (GKE). You have a single GKE cluster. For each of your customers, a Pod is running in that cluster, and your customers can run arbitrary code inside their Pod. You want to maximize the isolation between your customers' Pods. What should you do?

A. Use the Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods.
B. Use the cos_containerdimage for your GKE nodes. Add a nodeSelector with the value cloud.google.com/gke-os-distribution: cos_containerdto the specification of your customers' Pods.
C. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods.
D. Use Binary Authorization and whitelist only the container images used by your customers' Pods.

Answer: C

Explanation:
https://cloud.google.com/blog/products/containers-kubernetes/gke-sandbox-bring-defense-in- depth-to-your-pods

NEW QUESTION # 233
You need to manage multiple Google Cloud projects in the fewest steps possible. You want to configure the Google Cloud SDK command line interface (CLI) so that you can easily manage multiple projects. What should you do?

A. 1. Use the default configuration for one project you need to manage.
2. Use gcloud initto update the configuration values when you need to work with a non-default project.
B. 1. Create a configuration for each project you need to manage.
2. Activate the appropriate configuration when you work with each of your assigned Google Cloud projects.
C. 1. Use the default configuration for one project you need to manage.
2. Activate the appropriate configuration when you work with each of your assigned Google Cloud projects.
D. 1. Create a configuration for each project you need to manage.
2. Use gcloud initto update the configuration values when you need to work with a non-default project

Answer: A

NEW QUESTION # 234
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?

A. Create a Compute Engine snapshot of your base VM. Create your instances from that snapshot.
B. Create a Compute Engine snapshot of your base VM. Create your images from that snapshot.
C. Create a custom Compute Engine image from a snapshot. Create your images from that image.
D. Create a custom Compute Engine image from a snapshot. Create your instances from that image.

Answer: D

Explanation:
A custom image belongs only to your project. To create an instance with a custom image, you must first have a custom image.
Reference:
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

NEW QUESTION # 235
(Your company uses a multi-cloud strategy that includes Google Cloud. You want to centralize application logs in a third-party software-as-a-service (SaaS) tool from all environments. You need to integrate logs originating from Cloud Logging, and you want to ensure the export occurs with the least amount of delay possible. What should you do?)

A. Use a Cloud Scheduler cron job to trigger a Cloud Function that queries Cloud Logging and sends the logs to the SaaS tool.
B. Create a Cloud Logging sink and configure Cloud Storage as the destination. Configure the SaaS tool to read the Cloud Storage bucket to retrieve the logs.
C. Create a Cloud Logging sink and configure BigQuery as the destination. Configure the SaaS tool to query BigQuery to retrieve the logs.
D. Create a Cloud Logging sink and configure Pub/Sub as the destination. Configure the SaaS tool to subscribe to the Pub/Sub topic to retrieve the logs.

Answer: D

Explanation:
Comprehensive and Detailed In Depth Explanation:
The requirement is to export logs from Cloud Logging to a third-party SaaS tool with the least amount of delay possible. Let's analyze each option:
A: Cloud Scheduler, Cloud Function, and querying Cloud Logging: This approach introduces a delay based on the Cloud Scheduler's cron job frequency. The Cloud Function would periodically query Cloud Logging, which might not capture the logs in real-time. This does not meet the "least amount of delay possible" requirement.
B: Cloud Logging sink to Pub/Sub, SaaS tool subscribing to Pub/Sub: Cloud Logging sinks can be configured to export logs in near real-time as they are ingested into Cloud Logging. Pub/Sub is a messaging service designed for asynchronous and near real-time message delivery. By configuring the sink to send logs to a Pub
/Sub topic, and having the SaaS tool subscribe to this topic, logs can be delivered to the SaaS tool with minimal delay. This aligns with the requirement for immediate export.
C: Cloud Logging sink to Cloud Storage, SaaS tool reading Cloud Storage: Exporting logs to Cloud Storage involves a batch-oriented approach. Logs are typically written to files periodically. The SaaS tool would then need to poll or be configured to read these files, introducing a significant delay compared to a streaming approach.
D: Cloud Logging sink to BigQuery, SaaS tool querying BigQuery: Similar to Cloud Storage, exporting to BigQuery is more suitable for analytical purposes. The SaaS tool would need to periodically query BigQuery, which introduces latency and is not the most efficient way to achieve near real-time log delivery.
Therefore, configuring a Cloud Logging sink to Pub/Sub and having the SaaS tool subscribe to the Pub/Sub topic provides the lowest latency for exporting logs.
Google Cloud Documentation References:
Cloud Logging Sinks Overview: https://cloud.google.com/logging/docs/export/configure_export_v2 - This document explains how to create and manage Cloud Logging sinks, including the available destinations.
Pub/Sub Overview: https://cloud.google.com/pubsub/docs/overview - This highlights Pub/Sub's capabilities for real-time message delivery and its use cases in streaming data.
Exporting Logs with Cloud Logging: https://cloud.google.com/logging/docs/export - This provides a comprehensive guide to exporting logs from Cloud Logging to various destinations, emphasizing Pub/Sub for streaming.

NEW QUESTION # 236
Your team has been working on building a web application. The plan is to deploy to Kubernetes. You currently have a Dockerfile that works locally. How can you get the application deployed to Kubernetes?

A. Use kubectl apply to push the Dockerfile to Kubernetes.
B. Use docker to create a container image, push it to the Google Container Registry, deploy the uploaded image to Kubernetes with kubectl.
C. Use docker to create a container image, save the image to Cloud Storage, deploy the uploaded image to Kubernetes with kubectl.
D. Use kubectl to push the convert the Dockerfile into a deployment.

Answer: B

NEW QUESTION # 237
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