Associate-Cloud-Engineer시험문제집즉덤프가지니고있는장점 - Google Associate Cloud Engineer Exam

참고: ExamPassdump에서 Google Drive로 공유하는 무료, 최신 Associate-Cloud-Engineer 시험 문제집이 있습니다: https://drive.google.com/open?id=1RmK7Jn2KWnayaEfiRAOdkob0ffL6zJPu

IT인증자격증은 여느때보다 강렬한 경쟁율을 보이고 있습니다. Google 인증Associate-Cloud-Engineer시험을 통과하시면 취직 혹은 승진이나 연봉협상에 많은 도움이 되어드릴수 있습니다. Google 인증Associate-Cloud-Engineer시험이 어려워서 통과할 자신이 없다구요? ExamPassdump덤프만 있으면 이런 고민은 이제 그만 하지않으셔도 됩니다. ExamPassdump에서 출시한 Google 인증Associate-Cloud-Engineer덤프는 시장에서 가장 최신버전입니다.

Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ensuring Successful Operation15-20%- Managing Cloud Run resources
  • 1. Managing revisions and traffic splitting
  • 2. Configuring resource limits
- Managing Compute Engine resources
  • 1. Attaching and detaching disks
  • 2. Managing instances, disks, and snapshots
  • 3. Resizing instances and persistent disks
- Managing logging and monitoring
  • 1. Creating metrics and alerts
  • 2. Using Cloud Monitoring and Logging
  • 3. Viewing and analyzing logs
- Managing storage and data solutions
  • 1. Configuring CORS and encryption
  • 2. Setting lifecycle policies
  • 3. Managing Cloud Storage buckets and objects
- Managing Kubernetes Engine resources
  • 1. Upgrading clusters
  • 2. Scaling clusters and node pools
  • 3. Managing workloads (Deployments, Services, HPA)
Topic 2: Deploying and Implementing a Cloud Solution20-25%- Deploying and managing Cloud Run resources
  • 1. Deploying containerized applications to Cloud Run
  • 2. Configuring memory limits and scaling settings
- Deploying and managing Compute Engine resources
  • 1. Creating and managing custom machine types
  • 2. Creating and managing instances with startup scripts
  • 3. Creating and managing managed instance groups
- Deploying and managing Kubernetes Engine resources
  • 1. Deploying workloads with Deployments and Services
  • 2. Configuring kubectl for cluster access
  • 3. Creating and managing GKE clusters
- Deploying and managing Cloud Functions
  • 1. Configuring triggers and environment variables
  • 2. Creating and triggering Cloud Functions
- Deploying applications with Cloud Deployment Manager
  • 1. Creating deployment configurations
  • 2. Using templates for resource provisioning
Topic 3: Configuring Access and Security15-20%- Managing service accounts
  • 1. Assigning service accounts to resources
  • 2. Creating and managing service accounts
  • 3. Using service account keys
- Viewing audit logs
  • 1. Configuring audit log policies
  • 2. Accessing and analyzing Cloud Audit Logs
- Managing IAM resources
  • 1. Creating and managing IAM roles
  • 2. Defining custom IAM roles
  • 3. Applying IAM policies to resources
Topic 4: Setting Up a Cloud Solution Environment20-25%- Managing billing configuration
  • 1. Creating billing accounts
  • 2. Linking billing to projects
  • 3. Setting up budget alerts and notifications
- Setting up cloud projects and accounts
  • 1. Managing billing budgets and alerts
  • 2. Creating and managing projects
  • 3. Assigning IAM roles to users and groups
Topic 5: Planning and Configuring a Cloud Solution20-25%- Planning and estimating GCP product usage
  • 1. Using GCP Pricing Calculator
  • 2. Reading documentation for compute, storage, and network resources
- Planning and configuring compute resources
  • 1. Configuring persistent disks and local SSDs
  • 2. Selecting appropriate machine types and zones
- Planning and configuring data storage options
  • 1. Selecting appropriate storage classes
  • 2. Choosing between Cloud Storage, Filestore, Persistent Disk
- Planning and configuring network resources
  • 1. Designing VPC networks
  • 2. Configuring load balancing and firewall rules

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Google Associate-Cloud-Engineer인증시험도 어려울 뿐만 아니라 신청 또한 어렵습니다.Google Associate-Cloud-Engineer시험은 IT업계에서도 권위가 있고 직위가 있으신 분들이 응시할 수 있는 시험이라고 알고 있습니다. 우리 ExamPassdump에서는Google Associate-Cloud-Engineer관련 학습가이드를 제동합니다. ExamPassdump 는 우리만의IT전문가들이 만들어낸Google Associate-Cloud-Engineer관련 최신, 최고의 자료와 학습가이드를 준비하고 있습니다. 여러분의 편리하게Google Associate-Cloud-Engineer응시하는데 많은 도움이 될 것입니다.

최신 Google Cloud Certified Associate-Cloud-Engineer 무료샘플문제 (Q163-Q168):

질문 # 163
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?

정답：B

설명：
https://cloud.google.com/deployment-manager/docs/configuration/create-basic-configuration


질문 # 164
You are managing several Google Cloud Platform (GCP) projects and need access to all logs for the past 60 days. You want to be able to explore and quickly analyze the log contents. You want to follow Google- recommended practices to obtain the combined logs for all projects. What should you do?

정답：A

설명：
* Navigate to Stackdriver Logging and select resource.labels.project_id=*. is not right.
Log entries are held in Stackdriver Logging for a limited time known as the retention period which is 30 days (default configuration). After that, the entries are deleted. To keep log entries longer, you need to export them outside of Stackdriver Logging by configuring log sinks.
Ref: https://cloud.google.com/blog/products/gcp/best-practices-for-working-with-google-cloud-audit-logging
* Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days. is not right.
While this works, it makes no sense to use Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery when Google provides a feature (export sinks) that does exactly the same thing and works out of the box.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2
* Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days. is not right.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in Cloud Storage, but querying logs information from Cloud Storage is harder than Querying information from BigQuery dataset. For this reason, we should prefer Big Query over Cloud Storage.
* Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days. is the right answer.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in a BigQuery Dataset. Querying information from a Big Query dataset is easier and quicker than analyzing contents in Cloud Storage bucket. As our requirement is to Quickly analyze the log contents, we should prefer Big Query over Cloud Storage.
Also, You can control storage costs and optimize storage usage by setting the default table expiration for newly created tables in a dataset. If you set the property when the dataset is created, any table created in the dataset is deleted after the expiration period. If you set the property after the dataset is created, only new tables are deleted after the expiration period.For example, if you set the default table expiration to 7 days, older data is automatically deleted after 1 week.Ref: https://cloud.google.com/bigquery/docs/best-practices-storage


질문 # 165
Your development team has asked for your help. They need a simple, reproducible way to create and terminate a new Compute Engine instance so that they can automate it as a part of their CI/CD process. What is the best option for accomplishing that?

정답：A


질문 # 166
You deployed an App Engine application using gcloud app deploy, but it did not deploy to the intended project. You want to find out why this happened and where the application deployed. What should you do?

정답：B

설명：
account = xxx@gmail.com
disable_usage_reporting = False
project = my-first-demo-xxxx
https://cloud.google.com/endpoints/docs/openapi/troubleshoot-gce-deployment


질문 # 167
You're deploying an application to a Compute Engine instance, and it's going to need to make calls to read from Cloud Storage and Bigtable. You want to make sure you're following the principle of least privilege. What's the easiest way to ensure the code can authenticate to the required Google Cloud APIs?

정답：C


질문 # 168
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