Associate-Cloud-Engineer試験の準備方法｜高品質なAssociate-Cloud-Engineerテスト内容試験｜最高のGoogle Associate Cloud Engineer Exam赤本勉強

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Google Associate-Cloud-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Associate Cloud Engineer
Exam Number:	Associate-Cloud-Engineer
Real Exam Qty:	50-60
Exam Format:	Multiple select, Multiple choice
Available Languages:	English, Japanese
Exam Price:	$125 USD
Certificate Validity Period:	3 years
Exam Duration:	120 minutes
Related Certifications:	Professional Cloud Architect Professional Cloud Network Engineer Professional Cloud DevOps Engineer
Recommended Training:	Google Cloud Skills Boost - Associate Cloud Engineer Prep Google Cloud Training & Certification
Exam Registration:	Kryterion Webassessor Registration Official Certification Page
Sample Questions:	Google Associate-Cloud-Engineer Sample Questions
Exam Way:	Online proctored exam (via Kryterion Webassessor)
Pre Condition:	No formal prerequisites. Recommended: 6+ months hands-on experience with Google Cloud.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-engineer

>> Associate-Cloud-Engineerテスト内容 <<

Associate-Cloud-Engineer赤本勉強 & Associate-Cloud-Engineer日本語版

PassTest世界は急速に変化しており、Google従業員に対する要件はこれまでになく高くなっています。理想的な仕事を見つけて高収入を得たい場合は、優れた労働能力と深い知識を高めなければなりません。 Associate-Cloud-EngineerのGoogle Associate Cloud Engineer Exam認定に合格すると、夢を実現できます。製品を購入すると、最高のGoogle Associate Cloud Engineer Exam学習教材が提供され、Google Associate Cloud Engineer Exam認定の取得に役立ちます。当社の製品は高品質であり、当社のサービスは完璧です。

Google Associate-Cloud-Engineer認定試験の準備には、Google Cloudが提供するさまざまなリソースを活用することができます。これには、オンライントレーニングコース、練習問題、勉強ガイドなどが含まれます。また、Google Cloudが提供する無料トライアルを使用して、Google Cloud Platformでのハンズオン体験を積むこともできます。認定試験は、個人がGoogle Cloud Platformの知識と専門知識を証明し、その分野でのキャリアの見通しを向上させるための素晴らしい機会です。

Google Associate Cloud Engineer Exam 認定 Associate-Cloud-Engineer 試験問題 (Q374-Q379):

質問 # 374
You are migrating your company's on-premises compute resources to Google Cloud. You need to deploy batch processing jobs that run every night. The jobs require significant CPU and memory for several hours but can tolerate interruptions. You must ensure that the deployment is cost- effective.
What should you do?

A. Use Spot VMs on Compute Engine.
B. Use custom machine types on Compute Engine.
C. Use the M1 machine series on Compute Engine.
D. Containerize the batch processing jobs and deploy them on Compute Engine.

正解：A

解説：
Using Spot VMs on Compute Engine is the most cost-effective solution for batch processing jobs that require significant CPU and memory for several hours and can tolerate interruptions. Spot VMs are discounted instances that can be preempted by Google Cloud at any time, making them ideal for workloads that are not time-sensitive and can handle interruptions. This approach minimizes costs while meeting your performance requirements.

質問 # 375
You want to configure autohealing for network load balancing for a group of Compute Engine instances that run in multiple zones, using the fewest possible steps. You need to configure re- creation of VMs if they are unresponsive after 3 attempts of 10 seconds each. What should you do?

A. Create an HTTP load balancer with a backend configuration that references an existing instance group.
Set the health check to healthy (HTTP)
B. Create a managed instance group. Verify that the autoscaling setting is on.
C. Create a managed instance group. Set the Autohealing health check to healthy (HTTP)
D. Create an HTTP load balancer with a backend configuration that references an existing instance group.
Define a balancing mode and set the maximum RPS to 10.

正解：B

質問 # 376
You want to configure autohealing for network load balancing for a group of Compute Engine instances that run in multiple zones, using the fewest possible steps. You need to configure re-creation of VMs if they are unresponsive after 3 attempts of 10 seconds each. What should you do?

A. Create an HTTP load balancer with a backend configuration that references an existing instance group. Set the health check to healthy (HTTP).
B. Create an HTTP load balancer with a backend configuration that references an existing instance group. Define a balancing mode and set the maximum RPS to 10.
C. Create a managed instance group. Set the Autohealing health check to healthy (HTTP).
D. Create a managed instance group. Verify that the autoscaling setting is on.

正解：A

質問 # 377
You need to set a budget alert for use of Compute Engineer services on one of the three Google Cloud Platform projects that you manage. All three projects are linked to a single billing account. What should you do?

A. Verify that you are the project administrator. Select the associated billing account and create a budget for the appropriate project.
B. Verify that you are project administrator. Select the associated billing account and create a budget and a custom alert.
C. Verify that you are the project billing administrator. Select the associated billing account and create a budget and a custom alert.
D. Verify that you are the project billing administrator. Select the associated billing account and create a budget and alert for the appropriate project.

正解：C

質問 # 378
Your team has developed a stateless application which requires it to be run directly on virtual machines. The application is expected to receive a fluctuating amount of traffic and needs to scale automatically. You need to deploy the application. What should you do?

A. Deploy the application on Cloud Functions and configure the maximum number instances.
B. Deploy the application on Cloud Run and configure autoscaling.
C. Deploy the application on a Kubernetes Engine cluster and configure node pool autoscaling.
D. Deploy the application on a managed instance group and configure autoscaling.

正解：D

解説：
Managed Instance Groups (MIGs): MIGs are designed to manage groups of identical VMs, making them ideal for running stateless applications. They provide features like auto-scaling, auto-healing, and load balancing, which are crucial for handling fluctuating traffic.
Autoscaling: You can configure autoscaling policies to automatically add or remove VM instances based on metrics like CPU utilization, HTTP load balancing traffic, or Stackdriver Monitoring metrics. This ensures that your application can scale up to handle peak traffic and scale down during periods of low demand.

質問 # 379
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