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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
You've deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

A. Store the database password inside the Docker image of the container, not in the YAML file.
B. Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.
C. Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.
D. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.

Answer: C

Explanation:
https://cloud.google.com/config-connector/docs/how-to/secrets#gcloud

NEW QUESTION # 69
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

A. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.
B. The pending Pod's resource requests are too large to fit on a single node of the cluster.
C. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.
D. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.

Answer: A

NEW QUESTION # 70
You have been asked to set up Object Lifecycle Management for objects stored in storage buckets. The objects are written once and accessed frequently for 30 days. After 30 days, the objects are not read again unless there is a special need. The object should be kept for three years, and you need to minimize cost. What should you do?

A. Set up a policy that uses Nearline storage for 30 days and then moves to Archive storage for three years.
B. Set up a policy that uses Nearline storage for 30 days, then moves the Coldline for one year, and then moves to Archive storage for two years.
C. Set up a policy that uses Standard storage for 30 days, then moves to Coldline for one year, and then moves to Archive storage for two years.
D. Set up a policy that uses Standard storage for 30 days and then moves to Archive storage for three years.

Answer: D

Explanation:
Explanation
The key to understand the requirement is : "The objects are written once and accessed frequently for 30 days" Standard Storage Standard Storage is best for data that is frequently accessed ("hot" data) and/or stored for only brief periods of time.
Archive Storage
Archive Storage is the lowest-cost, highly durable storage service for data archiving, online backup, and disaster recovery. Unlike the "coldest" storage services offered by other Cloud providers, your data is available within milliseconds, not hours or days. Archive Storage is the best choice for data that you plan to access less than once a year.
https://cloud.google.com/storage/docs/storage-classes#standard

NEW QUESTION # 71
An application generates daily reports in a Compute Engine virtual machine (VM). The VM is in the project corp-iot-insights. Your team operates only in the project corp-aggregate-reports and needs a copy of the daily exports in the bucket corp-aggregate-reports-storage. You want to configure access so that the daily reports from the VM are available in the bucket corp-aggregate-reports-storage and use as few steps as possible while following Google-recommended practices. What should you do?

A. Grant the VM Service Account the role Storage Object Creator on corp-aggregate-reports-storage.
B. Move both projects under the same folder.
C. Create a Shared VPC network between both projects. Grant the VM Service Account the role Storage Object Creator on corp-iot-insights.
D. Make corp-aggregate-reports-storage public and create a folder with a pseudo-randomized suffix name.
Share the folder with the IoT team.

Answer: A

Explanation:
Predefined roles
The following table describes Identity and Access Management (IAM) roles that are associated with Cloud Storage and lists the permissions that are contained in each role. Unless otherwise noted, these roles can be applied either to entire projects or specific buckets.
Storage Object Creator (roles/storage.objectCreator) Allows users to create objects. Does not give permission to view, delete, or overwrite objects.
https://cloud.google.com/storage/docs/access-control/iam-roles#standard-roles Reference: https://cloud.google.com/billing/docs/onboarding-checklist

NEW QUESTION # 72
You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

A. Create a docker image from the Dockerfile and upload it to Container Registry.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file.
B. Use gcloud app deploy <dockerfilename>.
C. Create a docker image from the Dockerfile and upload it to Cloud Storage.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file.
D. Use kubectl app deploy <dockerfilename>.

Answer: A

Explanation:
Create the image prior to deployment:
https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app
You cant deploy a docker file

NEW QUESTION # 73
......

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