Effective Google Associate-Cloud-Engineer Questions - Get Ready For The Associate-Cloud-Engineer Exam

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Google Associate-Cloud-Engineer Exam is an excellent opportunity for professionals who want to advance their cloud computing careers and become experts in GCP. Google Associate Cloud Engineer Exam certification is recognized by industry leaders and provides a competitive advantage in the job market. With the right preparation and training, passing the exam can be a great achievement that opens up new career opportunities.

Google Associate-Cloud-Engineer Exam is a great opportunity for individuals who want to start their careers in the cloud infrastructure industry. An in-depth understanding of GCP products and services can lead to a variety of job roles such as cloud engineer, cloud administrator, DevOps engineer, and cloud consultant. By obtaining the Google Associate Cloud Engineer certification, candidates can demonstrate their proficiency in GCP and enhance their employability.

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Ensuring Successful Functioning of Cloud Solutions

The aim of this section is to evaluate the expertise of the specialists in managing Compute Engine resources. Furthermore, the applicants are required to possess the skills in managing networking resources, Google Kubernetes Engine resources, Cloud Run & App Engine resources, storage & database solutions. They should also have a good comprehension of how to perform monitoring & logging.

Google Associate Cloud Engineer Exam Sample Questions (Q306-Q311):

NEW QUESTION # 306
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?

A. Package it in a container image, and run it on Kubernetes Engine, using n1-standard-32 instances as nodes.
B. Run it on Compute Engine, and choose a custom instance type with 6 vCPUs and 32 GB of memory.
C. Run it on Compute Engine, choose the instance type n1-standard-1, and add an SSD persistent disk of 32 GB.
D. Create a Cloud Memorystore for Redis instance with 32-GB capacity.

Answer: D

Explanation:
It will be all most the same price, but if you choose option B you are loosing 6 VCPU that doesn't do nothing.

NEW QUESTION # 307
You have a single binary application that you want to run on Google Cloud Platform. You decided to automatically scale the application based on underlying infrastructure CPU usage. Your organizational policies require you to use virtual machines directly. You need to ensure that the application scaling is operationally efficient and completed as quickly as possible. What should you do?

A. Create a Google Kubernetes Engine cluster, and use horizontal pod autoscaling to scale the application.
B. Create an instance template, and use the template in a managed instance group with autoscaling configured.
C. Create an instance template, and use the template in a managed instance group that scales up and down based on the time of day.
D. Use a set of third-party tools to build automation around scaling the application up and down, based on Stackdriver CPU usage monitoring.

Answer: B

Explanation:
A managed instance group can help use virtual machines directly and with autoscaling can scaling as per the demand.Refer GCP documentation. Managed Instance Groups AutoScaling Managed instance groups offer autoscaling capabilities that allow you to automatically add or delete instances from a managed instance group based on increases or decreases in load.

NEW QUESTION # 308
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?

A. Download a MongoDB installation package, and run it on a Managed Instance Group
B. Download a MongoDB installation package and run it on Compute Engine instances
C. Deploy MongoDB Alias from the Google Cloud Marketplace
D. Create a Cloud Bigtable cluster and use the HBase API

Answer: C

Explanation:
Explanation
https://console.cloud.google.com/marketplace/details/gc-launcher-for-mongodb-atlas/mongodb-atlas

NEW QUESTION # 309
Your company is seeking a scalable solution to retain and explore application logs hosted on Compute Engine. You must be able to analyze your logs with SQL queries, and you want to be able to create charts to identify patterns and trends in your logs over time. You want to follow Google-recommended practices and minimize your operational costs. What should you do?

A. Ingest your application logs to Cloud Logging by using Ops Agent, and explore your logs with Log Analytics.
B. Ingest your application logs to Cloud Logging by using Ops Agent, and explore your logs in Logs Explorer.
C. Use a custom script to push your application logs to BigQuery for exploration.
D. Use a custom script to push your application logs to Cloud SQL for exploration.

Answer: C

NEW QUESTION # 310
You have a development project with appropriate IAM roles defined. You are creating a production project and want to have the same IAM roles on the new project, using the fewest possible steps. What should you do?

A. In the Google Cloud Platform Console, use the 'create role' functionality and select all applicable permissions.
B. Use gcloud iam roles copy and specify the production project as the destination project.
C. In the Google Cloud Platform Console, use the 'create role from role' functionality.
D. Use gcloud iam roles copy and specify your organization as the destination organization.

Answer: D

Explanation:
Reference:
https://cloud.google.com/sdk/gcloud/reference/iam/roles/copy

NEW QUESTION # 311
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