Amazon AWS Certified Cloud Practitioner CLF-C02 Practice Test 106
Question 1050
A learner is explaining Amazon Macie to colleagues facing this situation: a team needs to discover potentially sensitive information stored within Amazon S3. Which explanation is MOST accurate?
- Inspector identifies package and supported workload vulnerabilities; it is not a replacement for data classification.
- Macie uses managed data discovery to help identify sensitive information in S3 objects, not network packet attacks.
- AWS Artifact gives customers on-demand access to available AWS assurance reports and selected compliance agreements.
- Encryption in transit protects communications over networks; it differs from encryption of data stored on disks.
Explanation
Correct Answer
B:Macie uses managed data discovery to help identify sensitive information in S3 objects, not network packet attacks. The explanation directly connects Amazon Macie to use Amazon Macie to detect and classify sensitive S3 data for the stated requirement.
Incorrect Answers
A:This statement is true of Amazon Inspector vulnerability findings, which addresses an administrator wants continuous assessments of supported workloads for software vulnerabilities. It does not explain the particular role of Amazon Macie; Macie uses managed data discovery to help identify sensitive information in S3 objects, not network packet attacks.
C:This statement is true of AWS Artifact compliance reports, which addresses an auditor asks a company for AWS third-party compliance and assurance documentation. It does not explain the particular role of Amazon Macie; Macie uses managed data discovery to help identify sensitive information in S3 objects, not network packet attacks.
D:This statement is true of Encryption in transit, which addresses a company wants to protect data while it moves between clients and an online service. It does not explain the particular role of Amazon Macie; Macie uses managed data discovery to help identify sensitive information in S3 objects, not network packet attacks.
Question 1051
A learner is explaining AWS Config to colleagues facing this situation: an organization must inspect how an AWS resource configuration changed over time. Which explanation is MOST accurate?
- Collecting logs alone is insufficient unless their access, preservation and lifecycle align with organizational policy.
- AWS Artifact gives customers on-demand access to available AWS assurance reports and selected compliance agreements.
- AWS Config tracks supported resource configuration history and rules rather than serving as a generic application log service.
- Inspector identifies package and supported workload vulnerabilities; it is not a replacement for data classification.
Explanation
Correct Answer
C:AWS Config tracks supported resource configuration history and rules rather than serving as a generic application log service. The explanation directly connects AWS Config to record configuration changes and evaluate resource compliance with AWS Config for the stated requirement.
Incorrect Answers
A:This statement is true of Security logging retention, which addresses an organization wants security logs available for internal investigations for a defined period. It does not explain the particular role of AWS Config; AWS Config tracks supported resource configuration history and rules rather than serving as a generic application log service.
B:This statement is true of AWS Artifact compliance reports, which addresses an auditor asks a company for AWS third-party compliance and assurance documentation. It does not explain the particular role of AWS Config; AWS Config tracks supported resource configuration history and rules rather than serving as a generic application log service.
D:This statement is true of Amazon Inspector vulnerability findings, which addresses an administrator wants continuous assessments of supported workloads for software vulnerabilities. It does not explain the particular role of AWS Config; AWS Config tracks supported resource configuration history and rules rather than serving as a generic application log service.
Question 1052
An RDS database stores sensitive customer records and must restrict user privileges. Which AWS service or cloud concept is the MOST direct match for this need?
- AWS S3 infrastructure durability
- Customer choice of AWS Region
- Customer Lambda function code
- Customer RDS data permissions
Explanation
Correct Answer
D:Customer RDS data permissions fits the need because selecting a managed database does not transfer responsibility for customer identities and data authorization to AWS. The relevant capability or responsibility is: The customer configures database users and permissions for its application data.
Incorrect Answers
A:AWS S3 infrastructure durability is associated with a different use case: a customer asks who maintains the physical storage systems used by Amazon S3. AWS handles service infrastructure, while customers still control object permissions, classifications and retention requirements. The question instead focuses on an RDS database stores sensitive customer records and must restrict user privileges; Customer RDS data permissions is the more direct match.
B:Customer choice of AWS Region is associated with a different use case: a business contract requires some client records to remain in a specified geographic jurisdiction. AWS provides available Regions, while the customer chooses deployment locations to meet its legal and organizational obligations. The question instead focuses on an RDS database stores sensitive customer records and must restrict user privileges; Customer RDS data permissions is the more direct match.
C:Customer Lambda function code is associated with a different use case: a Lambda function processes user data using application code written by a development team. Serverless eliminates server administration for the customer, not their responsibility for their own application code and data handling. The question instead focuses on an RDS database stores sensitive customer records and must restrict user privileges; Customer RDS data permissions is the more direct match.
Question 1053
Which AWS service or cloud principle is the BEST fit for this outcome or responsibility: adjust instance capacity based on demand?
- EC2 Auto Scaling
- Elastic Load Balancing
- Storage-optimized EC2
- Amazon EKS
Explanation
Correct Answer
A:EC2 Auto Scaling directly addresses this outcome. EC2 Auto Scaling can add or remove instances based on policies to help meet capacity and availability needs. A common relevant example is: a retail site needs more EC2 instances during traffic spikes and fewer when usage falls.
Incorrect Answers
B:Elastic Load Balancing instead focuses on a different requirement, such as a website needs inbound requests distributed among several healthy application targets. Elastic Load Balancing routes requests or connections to available targets rather than relying on one application instance. It is not the primary match for the requirement described here: adjust instance capacity based on demand.
C:Storage-optimized EC2 instead focuses on a different requirement, such as an analytics node needs high local disk throughput for temporary data processing. Storage-optimized instance families are designed for high local storage I/O and throughput needs. It is not the primary match for the requirement described here: adjust instance capacity based on demand.
D:Amazon EKS instead focuses on a different requirement, such as an organization wants managed Kubernetes control-plane capabilities for containerized workloads. EKS offers managed Kubernetes control-plane capabilities for applications using Kubernetes APIs. It is not the primary match for the requirement described here: adjust instance capacity based on demand.
Question 1054
A project manager compares Fault tolerance with other AWS concepts while considering this need: a payment-processing workload must continue processing transactions when an individual component unexpectedly fails. Which pairing assigns the responsibilities or benefits correctly?
- Fault tolerance: plan for sustained essential operations and recovery after disruptive events; Business continuity: maintain operation despite certain component failures
- Fault tolerance: maintain operation despite certain component failures; Agility: experiment and deliver changes rapidly using on-demand resources
- Fault tolerance: pay for consumed services instead of buying hardware for the annual peak; Pay-as-you-go consumption: maintain operation despite certain component failures
- Fault tolerance: experiment and deliver changes rapidly using on-demand resources; Agility: maintain operation despite certain component failures
Explanation
Correct Answer
B:The first pairing identifies Fault tolerance with its actual role: maintain operation despite certain component failures. Fault tolerance keeps service functioning when failures happen, often through replicated or redundant components. The comparison is valid because Agility instead addresses experiment and deliver changes rapidly using on-demand resources.
Incorrect Answers
A:The roles are swapped. Business continuity is associated with plan for sustained essential operations and recovery after disruptive events; Fault tolerance instead has the role: Maintain operation despite certain component failures. Fault tolerance keeps service functioning when failures happen, often through replicated or redundant components.
C:The roles are swapped. Pay-as-you-go consumption is associated with pay for consumed services instead of buying hardware for the annual peak; Fault tolerance instead has the role: Maintain operation despite certain component failures. Fault tolerance keeps service functioning when failures happen, often through replicated or redundant components.
D:The roles are swapped. Agility is associated with experiment and deliver changes rapidly using on-demand resources; Fault tolerance instead has the role: Maintain operation despite certain component failures. Fault tolerance keeps service functioning when failures happen, often through replicated or redundant components.
Question 1055
A stakeholder is considering AWS Migration Hub because a program manager needs a consolidated place to follow the progress of multiple migration activities. What is the MOST relevant capability or benefit?
- Meet this requirement: an organization must transfer a very large volume of data from a remote site with insufficient network bandwidth
- Leave a selected workload in its existing environment for now
- Track application migration progress centrally
- Decommission an unneeded application rather than migrate it
Explanation
Correct Answer
C:Track application migration progress centrally. AWS Migration Hub provides visibility into discovered applications and migration activity across supported migration tools. The stated need is specifically a program manager needs a consolidated place to follow the progress of multiple migration activities.
Incorrect Answers
A:This outcome fits AWS Snow Family: AWS Snow devices support moving large datasets when transferring everything over a network is slow or constrained. The stakeholder requires the more specific capability provided by AWS Migration Hub, not that separate benefit.
B:This outcome fits Retaining a workload: Retaining is an intentional decision to defer migration when business or technical constraints make an immediate move inappropriate. The stakeholder requires the more specific capability provided by AWS Migration Hub, not that separate benefit.
D:This outcome fits Retiring an application: Retiring eliminates redundant or unused workloads so migration effort is not spent on systems with no continuing value. The stakeholder requires the more specific capability provided by AWS Migration Hub, not that separate benefit.
Question 1056
A project manager compares Amazon Cognito with other AWS concepts while considering this need: a mobile application needs sign-up and authentication for its end users. Which pairing assigns the responsibilities or benefits correctly?
- Amazon Cognito: assume an appropriately trusted IAM role across accounts; Cross-account role access: support application-user authentication and identity features
- Amazon Cognito: meet this requirement: an organization must represent an individual with long-term credentials in one AWS account; IAM users: support application-user authentication and identity features
- Amazon Cognito: support centralized workforce sign-in and account access; AWS IAM Identity Center: support application-user authentication and identity features
- Amazon Cognito: support application-user authentication and identity features; Cross-account role access: assume an appropriately trusted IAM role across accounts
Explanation
Correct Answer
D:The first pairing identifies Amazon Cognito with its actual role: use Amazon Cognito for application-user authentication and identity features. Cognito focuses on end-user identity for web and mobile applications, not AWS workforce account administration. The comparison is valid because Cross-account role access instead addresses assume an appropriately trusted IAM role across accounts.
Incorrect Answers
A:The roles are swapped. Cross-account role access is associated with assume an appropriately trusted IAM role across accounts; Amazon Cognito instead has the role: Use Amazon Cognito for application-user authentication and identity features. Cognito focuses on end-user identity for web and mobile applications, not AWS workforce account administration.
B:The roles are swapped. IAM users is associated with use an IAM user where that identity model is specifically required; Amazon Cognito instead has the role: Use Amazon Cognito for application-user authentication and identity features. Cognito focuses on end-user identity for web and mobile applications, not AWS workforce account administration.
C:The roles are swapped. AWS IAM Identity Center is associated with use IAM Identity Center for centralized workforce sign-in and account access; Amazon Cognito instead has the role: Use Amazon Cognito for application-user authentication and identity features. Cognito focuses on end-user identity for web and mobile applications, not AWS workforce account administration.
Question 1057
A finance director compares AWS migration with building another private data center. Which AWS service or cloud concept is the MOST direct match for this need?
- Total cost of ownership
- Operating expenditure
- Idle resource spending
- Bring Your Own License
Explanation
Correct Answer
A:Total cost of ownership fits the need because total cost of ownership considers direct and indirect costs, not only an instance hourly price. The relevant capability or responsibility is: Include facilities, hardware, operations, and staffing in a long-term cost comparison.
Incorrect Answers
B:Operating expenditure is associated with a different use case: a business pays recurring usage charges for AWS resources it uses this month. Variable cloud charges generally align with operating expense rather than a customer buying provider hardware. The question instead focuses on a finance director compares AWS migration with building another private data center; Total cost of ownership is the more direct match.
C:Idle resource spending is associated with a different use case: an internal testing account leaves unused compute instances running every weekend. Idle provisioned resources may continue to generate charges; matching uptime to need reduces wasted spending. The question instead focuses on a finance director compares AWS migration with building another private data center; Total cost of ownership is the more direct match.
D:Bring Your Own License is associated with a different use case: a company has eligible existing software licenses that might be usable on a cloud host. BYOL may reduce duplicate license purchases when specific licensing rules and deployment requirements are satisfied. The question instead focuses on a finance director compares AWS migration with building another private data center; Total cost of ownership is the more direct match.
Question 1058
Which AWS service or cloud principle is the BEST fit for this outcome or responsibility: require MFA for eligible AWS sign-in identities?
- Identity federation
- Multi-factor authentication
- IAM Access Analyzer
- Cross-account role access
Explanation
Correct Answer
B:Multi-factor authentication directly addresses this outcome. MFA requires another authentication factor beyond a password and reduces risks from compromised passwords. A common relevant example is: a team wants an additional verification step if a user password is stolen.
Incorrect Answers
A:Identity federation instead focuses on a different requirement, such as a company wants staff to authenticate to AWS using its existing corporate identity provider. Federation integrates identity-provider authentication with AWS access, supporting centralized workforce identity management. It is not the primary match for the requirement described here: require MFA for eligible AWS sign-in identities.
C:IAM Access Analyzer instead focuses on a different requirement, such as a security team wants to identify unintended external access to supported AWS resources. Access Analyzer helps identify access findings; it does not by itself remove the underlying excessive permissions. It is not the primary match for the requirement described here: require MFA for eligible AWS sign-in identities.
D:Cross-account role access instead focuses on a different requirement, such as an auditor from a separate AWS account needs time-limited access to approved audit resources. Cross-account role trust enables authorized temporary access without copying long-term keys to the external account. It is not the primary match for the requirement described here: require MFA for eligible AWS sign-in identities.
Question 1059
A project manager compares Amazon Kinesis with other AWS concepts while considering this need: an application wants to capture and process a continuous stream of event records. Which pairing assigns the responsibilities or benefits correctly?
- Amazon Kinesis: support interactive SQL analysis over data in S3; Amazon Athena: support real-time streaming data ingestion and processing use cases
- Amazon Kinesis: enable supported business intelligence and analytics experiences; Amazon Quick: support real-time streaming data ingestion and processing use cases
- Amazon Kinesis: support real-time streaming data ingestion and processing use cases; Amazon Quick: enable supported business intelligence and analytics experiences
- Amazon Kinesis: support data integration, ETL and catalog features; AWS Glue: support real-time streaming data ingestion and processing use cases
Explanation
Correct Answer
C:The first pairing identifies Amazon Kinesis with its actual role: use Amazon Kinesis for real-time streaming data ingestion and processing use cases. Kinesis includes streaming data capabilities suitable for near-real-time events. The comparison is valid because Amazon Quick instead addresses use Amazon Quick for supported business intelligence and analytics experiences.
Incorrect Answers
A:The roles are swapped. Amazon Athena is associated with use Amazon Athena for interactive SQL analysis over data in S3; Amazon Kinesis instead has the role: Use Amazon Kinesis for real-time streaming data ingestion and processing use cases. Kinesis includes streaming data capabilities suitable for near-real-time events.
B:The roles are swapped. Amazon Quick is associated with use Amazon Quick for supported business intelligence and analytics experiences; Amazon Kinesis instead has the role: Use Amazon Kinesis for real-time streaming data ingestion and processing use cases. Kinesis includes streaming data capabilities suitable for near-real-time events.
D:The roles are swapped. AWS Glue is associated with use AWS Glue for data integration, ETL and catalog features; Amazon Kinesis instead has the role: Use Amazon Kinesis for real-time streaming data ingestion and processing use cases. Kinesis includes streaming data capabilities suitable for near-real-time events.
Question 1060
Which AWS service or cloud principle is the BEST fit for this outcome or responsibility: move compatible virtual machines or virtualized infrastructure with minimal change?
- AWS Snow Family
- AWS Application Migration Service
- Retiring an application
- Relocating a workload
Explanation
Correct Answer
D:Relocating a workload directly addresses this outcome. Relocating retains much of the underlying virtualization model while shifting where it runs. A common relevant example is: a company can move a supported virtualized environment to AWS while maintaining its familiar virtualization stack.
Incorrect Answers
A:AWS Snow Family instead focuses on a different requirement, such as an organization must transfer a very large volume of data from a remote site with insufficient network bandwidth. AWS Snow devices support moving large datasets when transferring everything over a network is slow or constrained. It is not the primary match for the requirement described here: move compatible virtual machines or virtualized infrastructure with minimal change.
B:AWS Application Migration Service instead focuses on a different requirement, such as an enterprise needs to lift and shift many supported physical or virtual servers to AWS. AWS Application Migration Service supports continuous replication and cutover for eligible servers. It is not the primary match for the requirement described here: move compatible virtual machines or virtualized infrastructure with minimal change.
C:Retiring an application instead focuses on a different requirement, such as an inventory review discovers a legacy reporting system with no users or business dependency. Retiring eliminates redundant or unused workloads so migration effort is not spent on systems with no continuing value. It is not the primary match for the requirement described here: move compatible virtual machines or virtualized infrastructure with minimal change.