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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q364-Q369):

NEW QUESTION # 364
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. Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days.
C. Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days.
D. Navigate to Stackdriver Logging and select resource.labels.project_id="*"

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 # 365
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

A. Use the BigQuery interface to review the nightly Job and look for any errors
B. Review the Error Reporting page in the Cloud Console to find any errors.
C. Use Cloud Debugger to find out why the data was not refreshed correctly
D. In Cloud Logging create a filter for your Data Studio report

Answer: C

NEW QUESTION # 366
You're running an n-tier application on Compute Engine with an Apache web server serving up web requests. You want to consolidate all of your logging into Stackdriver. What's the best approach to get the Apache logs into Stackdriver?

A. Install the Stackdriver monitoring and logging agents on the instance.
B. Stackdriver logs application data from all instances by default.
C. Enable Stackdriver monitoring when creating the instance.
D. Create a log sink and export it to Stackdriver.

Answer: A

NEW QUESTION # 367
You are using Container Registry to centrally store your company's container images in a separate project. In another project, you want to create a Google Kubernetes Engine (GKE) cluster. You want to ensure that Kubernetes can download images from Container Registry. What should you do?

A. In the project where the images are stored, grant the Storage Object Viewer IAM role to the service account used by the Kubernetes nodes.
B. Create a service account, and give it access to Cloud Storage. Create a P12 key for this service account and use it as an imagePullSecrets in Kubernetes.
C. Configure the ACLs on each image in Cloud Storage to give read-only access to the default Compute Engine service account.
D. When you create the GKE cluster, choose the Allow full access to all Cloud APIs option under 'Access scopes'.

Answer: D

NEW QUESTION # 368
Your projects incurred more costs than you expected last month. Your research reveals that a development GKE container emitted a huge number of logs, which resulted in higher costs. You want to disable the logs quickly using the minimum number of steps. What should you do?

A. 1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE container resource.
B. 1. Go to the GKE console, and delete existing clusters.
2. Recreate a new cluster.
3. Clear the option to enable legacy Stackdriver Logging.
C. 1. Go to the GKE console, and delete existing clusters.
2. Recreate a new cluster.
3. Clear the option to enable legacy Stackdriver Monitoring.
D. 1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE Cluster Operations resource.

Answer: A

NEW QUESTION # 369
......

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