CV0-004 Operations and Support Practice Test 8 — 15 Questions

Question 1

A cloud administrator notices that an Auto Scaling group is launching and terminating instances too frequently, causing instability. What should the administrator adjust to reduce this flapping behavior?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Increase the cooldown period. Increasing the cooldown period gives instances time to stabilize before additional scaling actions, reducing flapping.

Answer

Disable the cooldown period

Answer

Decrease the cooldown period

Answer

Increase the scale-out threshold

Question 2

A company uses AWS and wants to receive alerts when CPU utilization of an EC2 instance exceeds 90% for 10 minutes. Which AWS service should be used to create this alarm?

Accepted Answer

Amazon CloudWatch Alarms. CloudWatch Alarms monitor metrics and trigger actions based on thresholds and duration.

Answer

AWS CloudTrail

Answer

AWS Config

Answer

AWS Trusted Advisor

Question 3

A cloud engineer needs to implement a solution to automatically scale an application based on the number of messages in an SQS queue. The goal is to keep the queue length short. Which Auto Scaling policy type should the engineer use?

Accepted Answer

Target tracking scaling. Target tracking scaling is ideal when you want to maintain a metric at a target value — here, keeping SQS queue length (ApproximateNumberOfMessagesVisible) at a low target. Auto Scaling automatically adjusts capacity to keep the metric near the target, which directly satisfies the goal of keeping the queue short. It's the recommended policy for queue-depth-driven scaling.

Answer

Step scaling

Answer

Simple scaling

Answer

Scheduled scaling

Question 4

A company uses GCP and wants to ensure that log entries from Compute Engine instances are automatically exported to BigQuery for analysis. The logs must include structured JSON data. Which GCP service should be configured to route logs?

Accepted Answer

Cloud Logging using sinks. Cloud Logging can route logs to BigQuery using sinks. It accepts structured logs in JSON format.

Answer

Cloud Audit Logs

Answer

Cloud Functions

Answer

Cloud Monitoring

Question 5

A cloud administrator is configuring cost management for a multi-account cloud environment. The company wants to allocate costs by department and project. Which TWO steps should the administrator take to achieve this? (Choose two.)

Accepted Answer

Activate cost allocation tags in the billing console. Option C is correct because activating cost allocation tags in the billing console is the required step that makes user-defined tags (such as Department and Project) appear as line items in the cost and usage reports, enabling cost breakdowns by those dimensions. Option E is correct because applying consistent tags like Department and Project to resources is what actually associates each resource's spend with the desired cost center, and without these tags the allocation data cannot be produced. Together, tagging resources and then activating those tags for billing is the standard mechanism for allocating costs by department and project in a multi-account environment. Option A is not one of the two required steps because enabling cost reporting tools alone provides raw billing data but does not by itself map costs to departments and projects. Option B is unnecessary because separate accounts per department are an isolation/consolidation design choice, not the tagging mechanism needed for cost allocation. Option D is incorrect because budgeting tools set thresholds and alerts on spend; they do not allocate or attribute costs to departments and projects.

Answer

Enable the cloud provider's cost reporting tools

Answer

Create separate cloud accounts for each department

Answer

Use the cloud provider's budgeting tools to set spending limits

Question 6

A cloud engineer is planning a disaster recovery drill for a critical application that spans multiple availability zones. The drill must validate RTO and RPO without affecting production. Which THREE actions should the engineer include? (Choose three.)

Accepted Answer

Perform a failover to the secondary environment using production data. Option A is correct because a DR drill must actually exercise the failover to the secondary environment using production data (or a current copy of it) to realistically validate that the standby environment can take over and meet the target RTO and RPO. Option C is correct because validating RPO requires confirming that the recovered data matches the source data as of the last replication point, proving no data loss beyond the defined objective. Option E is correct because measuring the elapsed time from disaster declaration through failover and recovery is the only way to verify the actual RTO against the target. Option B is wrong because terminating production instances would cause a real outage, violating the requirement that the drill not affect production. Option D is wrong because deleting backups destroys recovery capability and is a dangerous, non-standard practice that would undermine rather than validate DR readiness.

Answer

Terminate production instances to simulate a disaster

Answer

Delete all backups to ensure they are not used during the drill

Question 7

A company uses AWS CloudFormation to manage infrastructure. The operations team needs to be alerted when a stack update fails. Which TWO methods can be used to send notifications? (Choose two.)

Accepted Answer

Configure CloudFormation to send events to an SNS topic. Option C is correct because CloudFormation natively supports associating an SNS topic with stack events, so when a stack update fails CloudFormation publishes the event to that topic and subscribers (email, SMS, Lambda, etc.) receive the notification. Option E is correct because CloudFormation emits stack state-change events to Amazon EventBridge (CloudWatch Events), and a rule matching the StackStatus value UPDATE_FAILED (or UPDATE_ROLLBACK_COMPLETE with failure) can trigger an SNS topic, Lambda, or other target to alert the operations team. Option A is not correct because AWS Trusted Advisor checks cost, security, fault tolerance, performance, and service limits — it does not monitor CloudFormation stack update failures. Option B is not correct because CloudTrail records API calls for auditing, and while its logs can be sent to CloudWatch Logs, this does not by itself generate failure notifications for stack updates. Option D is not correct because AWS Config evaluates resource configuration compliance and does not detect or notify on CloudFormation stack update failures.

Answer

Use AWS Trusted Advisor to monitor CloudFormation

Answer

Enable CloudTrail to log stack updates and send logs to CloudWatch Logs

Answer

Use AWS Config to detect stack failures

Question 8

A cloud architect needs to monitor CPU utilization across a fleet of EC2 instances and receive an alert when the average CPU exceeds 80% for 10 minutes. Which AWS service should be used to collect the metric and trigger the alert?

Accepted Answer

Amazon CloudWatch. Amazon CloudWatch is the AWS native monitoring service that collects EC2 metrics such as CPUUtilization at one-minute granularity (or finer with detailed monitoring) and supports CloudWatch Alarms with configurable thresholds and evaluation periods. An alarm can be set to trigger when the average CPUUtilization exceeds 80% for 10 minutes (e.g., 2 consecutive 5-minute periods or 10 consecutive 1-minute periods). CloudWatch also integrates with SNS for notifications and Auto Scaling for automated responses.

Answer

AWS Systems Manager

Answer

AWS Config

Answer

AWS CloudTrail

Question 9

A company wants to track cloud spending by department and project. Which strategy should be implemented to enable cost attribution?

Accepted Answer

Implement a resource tagging strategy. Resource tagging is the foundational mechanism for cost attribution in cloud environments. By applying consistent key-value tags (e.g., Department=Finance, Project=Alpha) to every resource, billing systems can group and filter costs along those dimensions. AWS Cost Explorer, Azure Cost Management, and GCP Billing all support grouping by tag, which directly answers the requirement to track spending by department and project.

Answer

Use a single account for all workloads

Answer

Enable detailed billing reports

Answer

Use AWS Organizations only

Question 10

A cloud administrator needs to centralize logs from multiple AWS services, including VPC flow logs and application logs, to enable searching and querying. Which solution should be used?

Accepted Answer

Amazon CloudWatch Logs. Amazon CloudWatch Logs is the native centralized log management service that ingests logs from EC2, Lambda, VPC Flow Logs, CloudTrail, and application sources, and provides Logs Insights for searching and querying. It supports metric filters, alarms, and subscription filters for downstream processing, making it the correct choice for centralized search and query across multiple AWS services.

Answer

AWS CloudTrail

Answer

Amazon S3 with Athena

Answer

AWS Config

Question 11

An organization wants to automate patching of their EC2 instances running Windows Server. They need to schedule patching during a maintenance window and ensure minimal downtime. Which AWS service should they use?

Accepted Answer

AWS Systems Manager Patch Manager. AWS Systems Manager Patch Manager automates patching and can be scheduled via maintenance windows.

Answer

AWS OpsWorks

Answer

Amazon Inspector

Answer

AWS CloudFormation

Question 12

A cloud engineer needs to troubleshoot network connectivity issues between two subnets. Which feature can help capture and analyze network traffic metadata?

Accepted Answer

VPC Flow Logs. VPC Flow Logs capture IP traffic metadata (source/destination IP, ports, protocol, bytes, packets, action) for traffic flowing through ENIs, subnets, or VPCs. This metadata is exactly what's needed to diagnose connectivity issues between subnets, since it shows whether traffic is being accepted or rejected by security groups and NACLs. It can be published to CloudWatch Logs or S3 for analysis.

Answer

Amazon Inspector

Answer

AWS Config

Answer

AWS CloudTrail

Question 13

A company uses Azure and wants to set up an alert that triggers when the average CPU of a virtual machine exceeds 90% for the past 15 minutes. The alert should send an email to the operations team. Which Azure resources are needed?

Accepted Answer

Azure Monitor metric alert and action group with email. Azure Monitor metric alerts evaluate metrics like CPU percentage against thresholds, and action groups define the notification channels (e.g., email). To alert when average CPU exceeds 90% for 15 minutes, you create a metric alert rule with a 15-minute aggregation window and attach an action group configured to send email to the operations team. This is the native, minimal-resource approach.

Answer

Azure Log Analytics and Logic App

Answer

Azure Advisor recommendation

Answer

Azure Service Health alert

Question 14

A cloud operations team wants to analyze application performance and identify slow database queries. They need a distributed tracing solution. Which service should they use?

Accepted Answer

AWS X-Ray. AWS X-Ray is a distributed tracing service that traces requests as they travel through microservices, Lambda functions, and database calls, producing a service map and segment timelines. It can pinpoint slow database queries by showing subsegment durations for SQL and NoSQL calls. This makes X-Ray the correct tool for identifying performance bottlenecks across a distributed application.

Answer

Amazon Inspector

Answer

AWS CloudTrail

Answer

Amazon CloudWatch Logs Insights

Question 15

A cloud administrator is configuring auto-scaling for a batch processing application that uses an SQS queue. The number of jobs varies unpredictably. Which metric is most appropriate for scaling the worker instances?

Accepted Answer

SQS queue depth (ApproximateNumberOfMessages). SQS queue depth (ApproximateNumberOfMessages) is the most appropriate metric because it directly reflects the backlog of work. For a batch processing application with unpredictable job volumes, scaling based on queue depth ensures that worker instances are added when there are many messages waiting and removed when the queue is empty. This provides responsive scaling that matches the actual workload.

Answer

Memory utilization of workers

Answer

Network throughput

Answer

CPU utilization of workers