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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ensuring successful operation of a cloud solution20%- Managing resources
  • 1. Troubleshoot common issues
  • 2. Update configurations
  • 3. Scale resources
- Monitoring and logging
  • 1. Use Cloud Logging
  • 2. Set up alerts
  • 3. Use Cloud Monitoring
- Managing cost and performance
  • 1. Optimize resource usage
  • 2. Analyze cost reports
Topic 2: Setting up a cloud solution environment20%- Setting up cloud projects and accounts
  • 1. Manage quotas and limits
  • 2. Apply organizational policies
  • 3. Manage IAM roles and permissions
  • 4. Manage users and groups
  • 5. Enable APIs
  • 6. Create resource hierarchy
- Managing billing configuration
  • 1. Create and manage billing accounts
  • 2. Link projects to billing accounts
  • 3. Configure billing exports
  • 4. Set budgets and alerts
Topic 3: Planning and configuring a cloud solution17.5%- Planning and configuring network resources
  • 1. Choose load balancing options
  • 2. Design VPC networks
  • 3. Plan hybrid connectivity
  • 4. Plan firewall rules
- Planning and configuring compute resources
  • 1. Choose storage options
  • 2. Plan instance configuration
  • 3. Plan data storage solutions
  • 4. Select compute options
- Planning and configuring storage resources
  • 1. Plan data durability and availability
  • 2. Select storage classes
Topic 4: Deploying and implementing a cloud solution25%- Deploying and implementing data solutions
  • 1. Provision databases
  • 2. Set up data processing pipelines
- Deploying and implementing Compute Engine resources
  • 1. Launch virtual machines
  • 2. Configure access and security
  • 3. Create managed instance groups
  • 4. Manage images and snapshots
- Deploying and implementing serverless resources
  • 1. Deploy Cloud Run services
  • 2. Create Cloud Functions
- Deploying and implementing Google Kubernetes Engine resources
  • 1. Create and manage clusters
  • 2. Deploy workloads
  • 3. Configure networking for GKE
Topic 5: Configuring access and security17.5%- Configuring network security
  • 1. Manage security controls
  • 2. Configure private access
  • 3. Secure VPC networks
- Managing data security
  • 1. Manage access to data
  • 2. Enable encryption
- Managing IAM
  • 1. Implement least privilege access
  • 2. Define roles and permissions
  • 3. Manage service accounts

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Google Associate Cloud Engineer Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
You are asked to set up application performance monitoring on Google Cloud projects A, B, and C as a single pane of glass. You want to monitor CPU, memory, and disk. What should you do?

Answer: A

Explanation:
Explanation
https://cloud.google.com/monitoring/settings/multiple-projects
https://cloud.google.com/monitoring/workspaces


NEW QUESTION # 14
You have an application that is currently processing transactions by using a group of managed VM instances. You need to migrate the application so that it is serverless and scalable. You want to implement an asynchronous transaction processing system, while minimizing management overhead. What should you do?

Answer: A

Explanation:
Using Pub/Sub to acknowledge incoming transactions and Cloud Run to process them is the best solution for implementing an asynchronous, serverless, and scalable transaction processing system. Pub/Sub provides a fully managed messaging service for event-driven architectures, while Cloud Run offers serverless compute that scales automatically based on the workload, minimizing management overhead.


NEW QUESTION # 15
You have an application on a general-purpose Compute Engine instance that is experiencing excessive disk read throttling on its Zonal SSD Persistent Disk. The application primarily reads large files from disk. The disk size is currently 350 GB. You want to provide the maximum amount of throughput while minimizing costs. What should you do?

Answer: A

Explanation:
Standard persistent disks are efficient and economical for handling sequential read/write operations, but they aren't optimized to handle high rates of random input/output operations per second (IOPS). If your apps require high rates of random IOPS, use SSD persistent disks. SSD persistent disks are designed for single-digit millisecond latencies. Observed latency is application specific.
Reference:
Local SSDs
Local SSDs are physically attached to the server that hosts your VM instance. Local SSDs have higher throughput and lower latency than standard persistent disks or SSD persistent disks. The data that you store on a local SSD persists only until the instance is stopped or deleted. Each local SSD is 375 GB in size, but you can attach a maximum of 24 local SSD partitions for a total of 9 TB per instance.
Performance
Local SSDs are designed to offer very high IOPS and low latency. Unlike persistent disks, you must manage the striping on local SSDs yourself. Combine multiple local SSD partitions into a single logical volume to achieve the best local SSD performance per instance, or format local SSD partitions individually.
Local SSD performance depends on which interface you select. Local SSDs are available through both SCSI and NVMe interfaces.


NEW QUESTION # 16
Your company plans to migrate its on-premises PostgreSQL database to Google Cloud. The workloads are demanding, requiring fast transactional and analytical performance. You need to select a fully managed database service on Google Cloud. Your solution must also be able to synchronously replicate and optimize the storage layer. What should you do?

Answer: C

Explanation:
AlloyDB for PostgreSQL is a fully managed, high-performance PostgreSQL-compatible service that provides synchronous replication and an optimized, distributed storage layer. It is designed for demanding transactional and analytical workloads and is the recommended target when migrating enterprise PostgreSQL workloads to Google Cloud.


NEW QUESTION # 17
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?

Answer: A

Explanation:
C:\GCP\appeng>gcloud config list
[core]
account = xxx@gmail.com
disable_usage_reporting = False
project = my-first-demo-xxxx
https://cloud.google.com/endpoints/docs/openapi/troubleshoot-gce-deployment


NEW QUESTION # 18
......

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