SkillTestPro | CompTIA Cloud+ Practice Test 15

CompTIA Cloud+ Practice Test 15

CompTIA Cloud+ Exam Practice Test

1 / 10

A company runs machine learning (ML) training workloads in the cloud and needs to reduce compute costs without affecting performance. What is the best solution?

Deploy ML workloads on general-purpose VMs

Run all training jobs sequentially instead of parallel execution

Avoid using GPUs to reduce compute costs

Use manual scaling instead of auto-scaling

Use spot instances or preemptible VMs for ML training

2 / 10

A company shares sensitive documents with external vendors via a cloud file-sharing service. How can they prevent unauthorized access while maintaining usability?

Encrypt files with a shared password for all vendors

Store files in a public bucket with access restrictions

Disable all file-sharing permissions

Use time-limited access links with MFA authentication

Require manual approval for every file download

3 / 10

A cloud-hosted NoSQL database is experiencing performance bottlenecks due to large read-intensive workloads. What is the best optimization strategy?

Increase database connection timeouts

Disable database indexing to reduce CPU overhead

Implement read replicas to distribute query loads

Deploy all database nodes in a single cloud region

Use synchronous replication for immediate consistency

4 / 10

A company stores sensitive customer data in the cloud and must ensure encryption keys are never exposed. What is the best practice for managing encryption keys?

Store encryption keys within the application code

Use a Hardware Security Module (HSM) for key management

Rotate encryption keys manually every two years

Use customer-managed keys (CMK) stored in a text file

Keep encryption keys in the same storage bucket as the encrypted data

5 / 10

A cloud-based e-commerce platform experiences a spike in traffic during sales events. However, the auto-scaling policy fails to provision new instances quickly enough, causing outages. What is the best fix?

Increase instance provisioning delays to avoid excessive scaling

Disable cloud provider's monitoring services to reduce overhead

Restrict scaling to specific availability zones only

Reduce cool-down periods between scaling events

Implement manual instance scaling during peak hours

6 / 10

A healthcare organization is required to retain security logs for seven years to comply with HIPAA regulations. What is the best storage strategy to balance compliance and cost efficiency?

Keep logs in high-performance storage for rapid retrieval

Store logs on-premises to ensure security

Use cold storage for long-term retention

Enable real-time log deletion to reduce storage costs

Disable log encryption to reduce processing overhead

7 / 10

An organization suffered a ransomware attack on its cloud-based file storage. Several encrypted files were replicated across all backups due to automated synchronization. What is the best recovery approach?

Restore files from the most recent synchronized backup

Use full disk encryption on all storage volumes

Implement immutable backups with versioning

Enable cloud provider’s auto-recovery feature

Rely on intrusion detection systems (IDS) to block future attacks

8 / 10

A company is moving performance-intensive workloads to a multi-cloud environment. The goal is to optimize latency and resource utilization. What is the best approach?

Use serverless computing for all workloads

Consolidate all workloads into a single cloud region

Enable live migration between cloud providers in real time

Deploy workloads exclusively in a private cloud for security

Deploy workloads closer to end users using edge computing

9 / 10

A financial services company encrypts all cloud-stored customer data. However, they are concerned about data integrity in case of corruption or unauthorized modifications. What is the best approach to verify data integrity?

Increase cloud storage redundancy to reduce corruption risks

Store all data in a single high-availability storage zone

Enable data compression before storing to detect corruption

Use cryptographic hashing (e.g., SHA-256) for verification

Implement symmetric encryption only for data at rest

10 / 10

A company's cloud-hosted application relies on multiple third-party APIs for data exchange. Recently, attackers have exploited insecure API endpoints to gain unauthorized access to sensitive data. What is the best way to secure API communications?

Implement rate limiting and anomaly detection on API traffic

Use OAuth 2.0 with token expiration for authentication

Restrict API access to a dedicated private subnet

Enable TLS 1.0 encryption for backward compatibility

Require publicly accessible API endpoints for external partners

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