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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ensuring Successful Operation	15-20%	- Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Attaching and detaching disks 3. Managing instances, disks, and snapshots - Managing Cloud Run resources 1. Managing revisions and traffic splitting 2. Configuring resource limits - Managing storage and data solutions 1. Setting lifecycle policies 2. Managing Cloud Storage buckets and objects 3. Configuring CORS and encryption - Managing Kubernetes Engine resources 1. Upgrading clusters 2. Scaling clusters and node pools 3. Managing workloads (Deployments, Services, HPA) - Managing logging and monitoring 1. Viewing and analyzing logs 2. Using Cloud Monitoring and Logging 3. Creating metrics and alerts
Topic 2: Planning and Configuring a Cloud Solution	20-25%	- Planning and configuring compute resources 1. Configuring persistent disks and local SSDs 2. Selecting appropriate machine types and zones - Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - Planning and configuring network resources 1. Configuring load balancing and firewall rules 2. Designing VPC networks - Planning and configuring data storage options 1. Selecting appropriate storage classes 2. Choosing between Cloud Storage, Filestore, Persistent Disk
Topic 3: Configuring Access and Security	15-20%	- Managing service accounts 1. Assigning service accounts to resources 2. Using service account keys 3. Creating and managing service accounts - Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs - Managing IAM resources 1. Defining custom IAM roles 2. Applying IAM policies to resources 3. Creating and managing IAM roles
Topic 4: Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying applications with Cloud Deployment Manager 1. Creating deployment configurations 2. Using templates for resource provisioning - Deploying and managing Cloud Run resources 1. Deploying containerized applications to Cloud Run 2. Configuring memory limits and scaling settings - Deploying and managing Compute Engine resources 1. Creating and managing instances with startup scripts 2. Creating and managing managed instance groups 3. Creating and managing custom machine types - Deploying and managing Kubernetes Engine resources 1. Deploying workloads with Deployments and Services 2. Creating and managing GKE clusters 3. Configuring kubectl for cluster access
Topic 5: Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Setting up budget alerts and notifications 2. Creating billing accounts 3. Linking billing to projects - Setting up cloud projects and accounts 1. Managing billing budgets and alerts 2. Assigning IAM roles to users and groups 3. Creating and managing projects

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

NEW QUESTION # 68
You need to configure IAM access audit logging in BigQuery for external auditors. You want to follow Google-recommended practices. What should you do?

A. Add the auditors group to two new custom IAM roles.
B. Add the auditor user accounts to the `logging.viewer' and `bigQuery.dataViewer' predefined IAM roles.
C. Add the auditors group to the `logging.viewer' and `bigQuery.dataViewer' predefined IAM roles.
D. Add the auditor user accounts to two new custom IAM roles.

Answer: B

NEW QUESTION # 69
You are managing several Google Cloud Platform (GCP) projects and need access to all logs for the past 60 days. You want to be able to explore and quickly analyze the log contents. You want to follow Google- recommended practices to obtain the combined logs for all projects. What should you do?

A. Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days.
B. Navigate to Stackdriver Logging and select resource.labels.project_id="*"
C. Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days.
D. Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days.

Answer: C

Explanation:
Navigate to Stackdriver Logging and select resource.labels.project_id=*. is not right.
Log entries are held in Stackdriver Logging for a limited time known as the retention period which is 30 days (default configuration). After that, the entries are deleted. To keep log entries longer, you need to export them outside of Stackdriver Logging by configuring log sinks.
Ref: https://cloud.google.com/blog/products/gcp/best-practices-for-working-with-google-cloud-audit-logging Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days. is not right.
While this works, it makes no sense to use Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery when Google provides a feature (export sinks) that does exactly the same thing and works out of the box.
Ref: https://cloud.google.com/logging/docs/export/configure_export_v2
Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days. is not right.
You can export logs by creating one or more sinks that include a logs query and an export destination. Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.
Ref: https://cloud.google.com/logging/docs/export/configure_export_v2
Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.
Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks
Either way, we now have the data in Cloud Storage, but querying logs information from Cloud Storage is harder than Querying information from BigQuery dataset. For this reason, we should prefer Big Query over Cloud Storage.
Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days. is the right answer.
You can export logs by creating one or more sinks that include a logs query and an export destination. Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.
Ref: https://cloud.google.com/logging/docs/export/configure_export_v2
Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.
Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks
Either way, we now have the data in a BigQuery Dataset. Querying information from a Big Query dataset is easier and quicker than analyzing contents in Cloud Storage bucket. As our requirement is to Quickly analyze the log contents, we should prefer Big Query over Cloud Storage.
Also, You can control storage costs and optimize storage usage by setting the default table expiration for newly created tables in a dataset. If you set the property when the dataset is created, any table created in the dataset is deleted after the expiration period. If you set the property after the dataset is created, only new tables are deleted after the expiration period.
For example, if you set the default table expiration to 7 days, older data is automatically deleted after 1 week.
Ref: https://cloud.google.com/bigquery/docs/best-practices-storage

NEW QUESTION # 70
Your company has a single sign-on (SSO) identity provider that supports Security Assertion Markup Language (SAML) integration with service providers. Your company has users in Cloud Identity. You would like users to authenticate using your company's SSO provider. What should you do?

A. In Cloud Identity, set up SSO with a third-party identity provider with Google as a service provider.
B. Obtain OAuth 2.0 credentials, configure the user consent screen, and set up OAuth 2.0 for Web Server Applications.
C. In Cloud Identity, set up SSO with Google as an identity provider to access custom SAML apps.
D. Obtain OAuth 2.0 credentials, configure the user consent screen, and set up OAuth 2.0 for Mobile & Desktop Apps.

Answer: D

NEW QUESTION # 71
You built an application on your development laptop that uses Google Cloud services. Your application uses Application Default Credentials for authentication and works fine on your development laptop. You want to migrate this application to a Compute Engine virtual machine (VM) and set up authentication using Google- recommended practices and minimal changes. What should you do?

A. Assign appropriate access for Google services to the service account used by the Compute Engine VM.
B. Create a service account with appropriate access for Google services, and configure the application to use this account.
C. Store credentials for your user account with appropriate access for Google services in a config file, and deploy this config file with your application.
D. Store credentials for service accounts with appropriate access for Google services in a config file, and deploy this config file with your application.

Answer: B

Explanation:
In general, Google recommends that each instance that needs to call a Google API should run as a service account with the minimum permissions necessary for that instance to do its job. In practice, this means you should configure service accounts for your instances with the following process: Create a new service account rather than using the Compute Engine default service account. Grant IAM roles to that service account for only the resources that it needs. Configure the instance to run as that service account. Grant the instance the
https://www.googleapis.com/auth/cloud-platform scope to allow full access to all Google Cloud APIs, so that the IAM permissions of the instance are completely determined by the IAM roles of the service account.
Avoid granting more access than necessary and regularly check your service account permissions to make sure they are up-to-date.
https://cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances#best_practices

NEW QUESTION # 72
You want to configure an SSH connection to a single Compute Engine instance for users in the dev1 group.
This instance is the only resource in this particular Google Cloud Platform project that the dev1 users should be able to connect to. What should you do?

A. Set metadata to enable-oslogin=true for the instance. Set the service account to no service account for that instance. Direct them to use the Cloud Shell to ssh to that instance.
B. Set metadata to enable-oslogin=true for the instance. Grant the dev1 group the compute.osLogin role.
Direct them to use the Cloud Shell to ssh to that instance.
C. Enable block project wide keys for the instance. Generate an SSH key and associate the key with that instance. Distribute the key to dev1 users and direct them to use their third-party tools to connect.
D. Enable block project wide keys for the instance. Generate an SSH key for each user in the dev1 group.
Distribute the keys to dev1 users and direct them to use their third-party tools to connect.

Answer: B

Explanation:
Reference: https://cloud.google.com/compute/docs/instances/adding-removing-ssh-keys After you enable OS Login on one or more instances in your project, those VMs accept connections only from user accounts that have the necessary IAM roles in your project or organization. In this case, we are granting the group compute.osLogin which lets them log in as non-administrator account. And since we are directing them to use Cloud Shell to ssh, we dont need to add their SSH keys to the instance metadata.Ref: https://cloud.
google.com/compute/docs/instances/managing-instance-access#configure_usersRef: https://cloud.google.com
/compute/docs/instances/managing-instance-access#add_oslogin_keys

NEW QUESTION # 73
......

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