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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q322-Q327):

NEW QUESTION # 322
Your organization has strict requirements to control access to Google Cloud projects. You need to enable your Site Reliability Engineers (SREs) to approve requests from the Google Cloud support team when an SRE opens a support case. You want to follow Google-recommended practices. What should you do?

A. Add your SREs to a group and then add this group to roles/accessapproval approver role.
B. Add your SREs to a group and then add this group to roles/iam roleAdmin role.
C. Add your SREs to roles/iam.roleAdmin role.
D. Add your SREs to roles/accessapproval approver role.

Answer: C

NEW QUESTION # 323
You are using Google Kubernetes Engine with autoscaling enabled to host a new application.
You want to expose this new application to the public, using HTTPS on a public IP address. What should you do?

A. Create a HAProxy pod in the cluster to load-balance the traffic to all the pods of the application.
Forward the public traffic to HAProxy with an iptable rule. Configure the DNS name of your application using the public IP of the node HAProxy is running on.
B. Create a Kubernetes Service of type NodePort to expose the application on port 443 of each node of the Kubernetes cluster. Configure the public DNS name of your application with the IP of every node of the cluster to achieve load-balancing.
C. Create a Kubernetes Service of type ClusterIP for your application. Configure the public DNS name of your application using the IP of this Service.
D. Create a Kubernetes Service of type NodePort for your application, and a Kubernetes Ingress to expose this Service via a Cloud Load Balancer.

Answer: D

Explanation:
You want to access Global HTTP(s) Load Balancing with GKE services, you must use Ingress Object.
https://cloud.google.com/kubernetes-engine/docs/concepts/service

NEW QUESTION # 324
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 a managed instance group and configure autoscaling.
B. Deploy the application on a Kubernetes Engine cluster and configure node pool autoscaling.
C. Deploy the application on Cloud Run and configure autoscaling.
D. Deploy the application on Cloud Functions and configure the maximum number instances.

Answer: A

Explanation:
A managed instance group is a group of identical virtual machines that are created from a common instance template and are managed by the Compute Engine service. A managed instance group can scale automatically based on the load or a schedule, and can distribute the traffic across the instances using a load balancer. A managed instance group is a suitable choice for deploying a stateless application that requires to be run directly on virtual machines and needs to scale automatically. You can use the Google Cloud console, the Cloud SDK (gcloud), or the REST API to create and manage a managed instance group.
The other options are not correct because they either do not meet the requirements of the application, or they do not run the application directly on virtual machines. Option A is not correct because Cloud Run is a serverless platform that runs stateless containers, not virtual machines. Option B is not correct because a Kubernetes Engine cluster is a managed Kubernetes service that runs containerized applications, not virtual machines. Option D is not correct because Cloud Functions is a serverless platform that runs single-purpose functions, not virtual machines.
Reference:
Managed instance groups
Autoscaling groups of instances
Creating and starting a managed instance group

NEW QUESTION # 325
Your company is moving from an on-premises environment to Google Cloud Platform (GCP). You have multiple development teams that use Cassandra environments as backend databases.They all need a development environment that is isolated from other Cassandra instances. You want to move to GCP quickly and with minimal support effort. What should you do?

A. 1. Advise your developers to go to Cloud Marketplace.2. Ask the developers to launch a Cassandra image for their development work.
B. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.2.Upload the snapshot to Cloud Storage and make it accessible to your developers.3.Build instructions to create a Compute Engine instance from the snapshot so that developers can do it themselves.
C. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.2. Use the snapshot to create instances for your developers.
D. 1. Build an instruction guide to install Cassandra on GCP.2. Make the instruction guide accessible to your developers.

Answer: A

Explanation:
https://medium.com/google-cloud/how-to-deploy-cassandra-and-connect-on-google-cloud-platform-with-a- few-clicks-11ee3d7001d1
https://cloud.google.com/blog/products/databases/open-source-cassandra-now-managed-on-google-cloud
https://cloud.google.com/marketplace
You can deploy Cassandra as a Service, called Astra, on the Google Cloud Marketplace. Not only do you get a unified bill for all GCP services, your Developers can now create Cassandra clusters on Google Cloud in minutes and build applications with Cassandra as a database as a service without the operational overhead of managing Cassandra

NEW QUESTION # 326
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. Change the storage class of the bucket from Nearline to Multi-Regional.
B. Enable parallel composite uploads using gsutil on the file transfer.
C. Decrease the TCP window size on the machine initiating the transfer.
D. Use the GCP Console to transfer the file instead of gsutil.

Answer: B

Explanation:
https://cloud.google.com/storage/docs/gsutil/commands/cp#parallel-composite-uploads_1 Warning: Parallel composite uploads should not be used with NEARLINE, COLDLINE, or ARCHIVE storage class buckets, because doing so incurs an early deletion charge for each component object.
Warning: Parallel composite uploads should not be used in buckets that have a retention policy, because the component pieces cannot be deleted until each has met the bucket's minimum retention period.

NEW QUESTION # 327
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