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Ensuring Operation Success of a Cloud Solution

Manage Compute Engine resources: the test takers should demonstrate their capability to manage single VM instances; RDP/SSH to instance; attack GPU to new instances and install CUDA libraries; view on-going running virtual machine inventory; work with snapshots, images, management interfaces, and instance groups;
Manage App Engine and Cloud Run resources: the individuals should be able to adjust application traffic splitting parameters; set scaling parameters for auto-scaling instances; work with management interfaces;
Manage database and storage solutions: this area requires your competence in setting object lifecycle management policies for Cloud Storage buckets; moving different objects between Cloud Storage buckets; estimating costs for BigQuery; executing queries for the retrieval of data from data instances. It also requires your capability to backup and restores data instances; review a job status in BigQuery, Cloud Dataflow, or Cloud Dataproc; work with management interfaces;
Manage Google Kubernetes Engine resources: this requires one’s competence in viewing on-going running cluster inventory; browsing container image depository and viewing the details of container images; working with pods, node pools, services, stateful applications, and management interfaces;

The Google Associate-Cloud-Engineer (ACE) exam is a certification offered by Google Cloud for individuals who want to demonstrate their knowledge and skills related to the Google Cloud Platform (GCP). This certification is designed for professionals who are responsible for deploying applications, monitoring operations, and managing solutions on GCP. The ACE exam is a great way to showcase your expertise in GCP and increase your value as a cloud engineer.

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Ensuring Successful Functioning of Cloud Solutions

The aim of this section is to evaluate the expertise of the specialists in managing Compute Engine resources. Furthermore, the applicants are required to possess the skills in managing networking resources, Google Kubernetes Engine resources, Cloud Run & App Engine resources, storage & database solutions. They should also have a good comprehension of how to perform monitoring & logging.

Google Associate Cloud Engineer Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing.
Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

A. 1. Create a dedicated Google group in Cloud Identity.
2. Add each data scientist's user account to the group.
3. Assign the BigQuery dataViewer user role to the group.
B. 1. Create an IAM entry for each data scientist's user account.
2. Assign the BigQuery jobUser role to the group.
C. 1. Create an IAM entry for each data scientist's user account.
2. Assign the BigQuery dataViewer user role to the group.
D. 1. Create a dedicated Google group in Cloud Identity.
2. Add each data scientist's user account to the group.
3. Assign the BigQuery jobUser role to the group.

Answer: A

NEW QUESTION # 14
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

A. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
- Schedule frequency: Daily
- Start time: 1:00 AM ?2:00 AM
- Autodelete snapshots after 30 days
B. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2. Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3. Configure the instance's crontab to execute these scripts daily at 1:00 AM.
C. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30
D. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2. Create a Cloud Function that deletes snapshots that are older than 30 days.
3. Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.

Answer: A

Explanation:
Creating scheduled snapshots for persistent disk
This document describes how to create a snapshot schedule to regularly and automatically back up your zonal and regional persistent disks. Use snapshot schedules as a best practice to back up your Compute Engine workloads. After creating a snapshot schedule, you can apply it to one or more persistent disks.
https://cloud.google.com/compute/docs/disks/scheduled-snapshots

NEW QUESTION # 15
You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?

A. 1. Create a Stackdriver Workspace, and associate your GCP project with it.
2.Write a script that monitors the CPU usage and sends it as a custom metric to Stackdriver.
3.Create an uptime check for the instance in Stackdriver.
B. 1. Create a consumer Gmail account.
2.Write a script that monitors the CPU usage.
3.When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.com on port 25 as SMTP server.
C. 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.
2.Create an Alerting Policy in Stackdriver that uses the threshold as a trigger condition.
3.Configure your email address in the notification channel.
D. 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3})%
2.In Stackdriver Monitoring, create an Alerting Policy based on this metric.
3.Configure your email address in the notification channel.

Answer: D

NEW QUESTION # 16
You are working with a user to set up an application in a new VPC behind a firewall. The user is concerned about data egress. You want to configure the fewest open egress ports. What should you do?

A. Set up a high-priority (1000) rule to allow the appropriate ports.
B. Set up a low-priority (65534) rule that blocks all egress and a high-priority rule (1000) that allows only the appropriate ports.
C. Set up a high-priority (1000) rule that pairs both ingress and egress ports.
D. Set up a high-priority (1000) rule that blocks all egress and a low-priority (65534) rule that allows only the appropriate ports.

Answer: B

Explanation:
Implied rules
Every VPC network has two implied firewall rules. These rules exist, but are not shown in the Cloud Console:
Implied allow egress rule. An egress rule whose action is allow, destination is 0.0.0.0/0, and priority is the lowest possible (65535) lets any instance send traffic to any destination, except for traffic blocked by Google Cloud. A higher priority firewall rule may restrict outbound access.
Internet access is allowed if no other firewall rules deny outbound traffic and if the instance has an external IP address or uses a Cloud NAT instance. For more information, see Internet access requirements.
Implied deny ingress rule. An ingress rule whose action is deny, source is 0.0.0.0/0, and priority is the lowest possible (65535) protects all instances by blocking incoming connections to them. A higher priority rule might allow incoming access. The default network includes some additional rules that override this one, allowing certain types of incoming connections.
https://cloud.google.com/vpc/docs/firewalls#default_firewall_rules

NEW QUESTION # 17
Your company uses Cloud Storage to store application backup files for disaster recovery purposes. You want to follow Google's recommended practices. Which storage option should you use?