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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q358-Q363):

NEW QUESTION # 358
You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their application on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the dataset. What should you do?

A. Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project.
B. Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project.
C. Create a Service Account in your own project, and grant this Service Account access to BigQuery in your project.
D. Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project.

Answer: A

Explanation:
Service accounts are both identities and resources. Because service accounts are identities, you can let a service account access resources in your project by granting it a role, just like you would for any other principal.

NEW QUESTION # 359
A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

A. Google App Engine
B. Google Compute Engine
C. Google Kubernetes Engine
D. Cloud Functions

Answer: D

Explanation:
Text Description automatically generated with low confidence

Cloud Functions is Google Cloud's event-driven serverless compute platform. It automatically scales based on the load and requires no additional configuration. You pay only for the resources used.
Ref: https://cloud.google.com/functions
While all other options i.e. Google Compute Engine, Google Kubernetes Engine, Google App Engine support autoscaling, it needs to be configured explicitly based on the load and is not as trivial as the scale up or scale down offered by Google's cloud functions.

NEW QUESTION # 360
You have 32 GB of data in a single file that you need to upload to a Nearline Storage bucket. The WAN connection you are using is rated at 1 Gbps, and you are the only one on the connection. You want to use as much of the rated 1 Gbps as possible to transfer the file rapidly. How should you upload the file?

A. Decrease the TCP window size on the machine initiating the transfer.
B. Enable parallel composite uploads using gsutil on the file transfer.
C. Use the GCP Console to transfer the file instead of gsutil.
D. Change the storage class of the bucket from Nearline to Multi-Regional.

Answer: B

Explanation:
https://cloud.google.com/storage/docs/parallel-composite-uploads
https://cloud.google.com/storage/docs/uploads-downloads#parallel-composite-uploads

NEW QUESTION # 361
You are building a product on top of Google Kubernetes Engine (GKE). You have a single GKE cluster. For each of your customers, a Pod is running in that cluster, and your customers can run arbitrary code inside their Pod. You want to maximize the isolation between your customers' Pods. What should you do?

A. Use the cos_containerdimage for your GKE nodes. Add a nodeSelector with the value cloud.google.com/gke-os-distribution: cos_containerdto the specification of your customers' Pods.
B. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods.
C. Use the Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods.
D. Use Binary Authorization and whitelist only the container images used by your customers' Pods.

Answer: B

Explanation:
https://cloud.google.com/blog/products/containers-kubernetes/gke-sandbox-bring-defense-in- depth-to-your-pods

NEW QUESTION # 362
You have deployed multiple Linux instances on Compute Engine. You plan on adding more instances in the coming weeks. You want to be able to access all of these instances through your SSH client over me Internet without having to configure specific access on the existing and new instances. You do not want the Compute Engine instances to have a public IP. What should you do?

A. Create an SSH keypair and store the public key as a project-wide SSH Key
B. Configure Cloud Identity-Aware Proxy for SSH and TCP resources.
C. Configure Cloud Identity-Aware Proxy (or HTTPS resources
D. Create an SSH keypair and store the private key as a project-wide SSH Key

Answer: A

NEW QUESTION # 363
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