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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configuring access and security	17.5%	- Managing IAM 1. Manage service accounts 2. Define roles and permissions 3. Implement least privilege access - Managing data security 1. Manage access to data 2. Enable encryption - Configuring network security 1. Configure private access 2. Manage security controls 3. Secure VPC networks
Topic 2: Setting up a cloud solution environment	20%	- Setting up cloud projects and accounts 1. Apply organizational policies 2. Create resource hierarchy 3. Manage IAM roles and permissions 4. Manage quotas and limits 5. Enable APIs 6. Manage users and groups - Managing billing configuration 1. Configure billing exports 2. Set budgets and alerts 3. Create and manage billing accounts 4. Link projects to billing accounts
Topic 3: Deploying and implementing a cloud solution	25%	- Deploying and implementing Google Kubernetes Engine resources 1. Create and manage clusters 2. Configure networking for GKE 3. Deploy workloads - 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. Manage images and snapshots 3. Create managed instance groups 4. Configure access and security - Deploying and implementing serverless resources 1. Deploy Cloud Run services 2. Create Cloud Functions
Topic 4: Ensuring successful operation of a cloud solution	20%	- Managing cost and performance 1. Analyze cost reports 2. Optimize resource usage - Monitoring and logging 1. Set up alerts 2. Use Cloud Logging 3. Use Cloud Monitoring - Managing resources 1. Scale resources 2. Update configurations 3. Troubleshoot common issues
Topic 5: Planning and configuring a cloud solution	17.5%	- Planning and configuring storage resources 1. Select storage classes 2. Plan data durability and availability - Planning and configuring compute resources 1. Plan instance configuration 2. Plan data storage solutions 3. Select compute options 4. Choose storage options - Planning and configuring network resources 1. Design VPC networks 2. Plan hybrid connectivity 3. Plan firewall rules 4. Choose load balancing options

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Google Associate Cloud Engineer Exam Sample Questions (Q288-Q293):

NEW QUESTION # 288
You need to provide a cost estimate for a Kubernetes cluster using the GCP pricing calculator for Kubernetes. Your workload requires high IOPs, and you will also be using disk snapshots. You start by entering the number of nodes, average hours, and average days. What should you do next?

A. Select Add GPUs. Fill in persistent disk storage and snapshot storage.
B. Select Add GPUs. Add estimated cost for cluster management.
C. Fill in local SSD. Add estimated cost for cluster management.
D. Fill in local SSD. Fill in persistent disk storage and snapshot storage.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/disks/local-ssd

NEW QUESTION # 289
(Your digital media company stores a large number of video files on-premises. Each video file ranges from
100 MB to 100 GB. You are currently storing 150 TB of video data in your on-premises network, with no room for expansion. You need to migrate all infrequently accessed video files older than one year to Cloud Storage to ensure that on-premises storage remains available for new files. You must also minimize costs and control bandwidth usage. What should you do?)

A. Use Storage Transfer Service to move the data from the selected on-premises file storage systems to a Cloud Storage bucket.
B. Create a Cloud Storage bucket. Establish an Identity and Access Management (IAM) role with write permissions to the bucket. Use the gsutil tool to directly copy files over the network to Cloud Storage.
C. Set up a Cloud Interconnect connection between the on-premises network and Google Cloud. Establish a private endpoint for Filestore access. Transfer the data from the existing Network File System (NFS) to Filestore.
D. Use Transfer Appliance to request an appliance. Load the data locally, and ship the appliance back to Google for ingestion into Cloud Storage.

Answer: A

Explanation:
Let's analyze each option:
A: Using gsutil: While gsutil can transfer data to Cloud Storage, for 150 TB of infrequently accessed data, direct transfer over the network might be slow and consume significant bandwidth, potentially impacting other network operations. It also lacks built-in mechanisms for filtering files based on age.
B: Using Cloud Interconnect and Filestore: Cloud Interconnect provides a dedicated connection, but Filestore is a fully managed NFS service primarily designed for high-performance file sharing for applications running in Google Cloud. Migrating 150 TB of infrequently accessed data to Filestore would be cost-inefficient compared to Cloud Storage and doesn't directly address the requirement of moving older than one year files.
C: Using Transfer Appliance: Transfer Appliance is suitable for very large datasets (petabytes) or when network connectivity is poor or unreliable. While it addresses bandwidth concerns, it involves a physical appliance and might be an overkill for 150 TB of data, especially if network connectivity is reasonable.
D: Using Storage Transfer Service: Storage Transfer Service is specifically designed for moving large amounts of data between online storage systems, including on-premises file systems and Cloud Storage. It offers features like filtering by file age, scheduling transfers, and bandwidth control, directly addressing all the requirements of the question: migrating infrequently accessed files older than one year to Cloud Storage, minimizing costs (by using appropriate Cloud Storage classes for infrequent access), and controlling bandwidth usage.
Google Cloud Documentation References:
Storage Transfer Service Overview: https://cloud.google.com/storage-transfer-service/docs/overview - This page details the capabilities and use cases of Storage Transfer Service, including transferring from on- premises.
Storage Transfer Service for on-premises data: https://cloud.google.com/storage-transfer-service/docs/on- prem-overview - This specifically covers transferring data from on-premises file systems.
Cloud Storage Classes: https://cloud.google.com/storage/docs/storage-classes - Understanding the different storage classes (Standard, Nearline, Coldline, Archive) is crucial for cost optimization of infrequently accessed data. Storage Transfer Service can be configured to move data to a cost-effective class like Nearline or Coldline.

NEW QUESTION # 290
You are deploying a web application using Compute Engine. You created a managed instance group (MIG) to host the application. You want to follow Google-recommended practices to implement a secure and highly available solution. What should you do?

A. Use HTTP(S) load balancing for the MIG and a CNAME record in your DNS private zone with the load balancer's IP address.
B. Use HTTP(S) load balancing for the MIG and an A record in your DNS public zone with the load balancer's IP address.
C. Use SSL proxy load balancing for the MIG and an A record in your DNS private zone with the load balancer's IP address.
D. Use SSL proxy load balancing for the MIG and a CNAME record in your DNS public zone with the load balancer's IP address.

Answer: B

NEW QUESTION # 291
Your organization needs to grant users access to query datasets in BigQuery but prevent them from accidentally deleting the datasets. You want a solution that follows Google-recommended practices. What should you do?

A. Add users to roles/bigquery user role only, instead of roles/bigquery dataOwner.
B. Add users to roles/bigquery dataEditor role only, instead of roles/bigquery dataOwner.
C. Create a custom role by removing delete permissions. Add users to the group, and then add the group to the custom role.
D. Create a custom role by removing delete permissions, and add users to that role only.

Answer: B

NEW QUESTION # 292
Your customer has implemented a solution that uses Cloud Spanner and notices some read latency-related performance issues on one table. This table is accessed only by their users using a primary key. The table schema is shown below.

You want to resolve the issue. What should you do?

A. Option C
B. Option B
C. Option A
D. Option D

Answer: A

Explanation:
As mentioned in Schema and data model, you should be careful when choosing a primary key to not accidentally create hotspots in your database. One cause of hotspots is having a column whose value monotonically increases as the first key part, because this results in all inserts occurring at the end of your key space. This pattern is undesirable because Cloud Spanner divides data among servers by key ranges, which means all your inserts will be directed at a single server that will end up doing all the work. https://cloud.
google.com/spanner/docs/schema-design#primary-key-prevent-hotspots

NEW QUESTION # 293
......

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