Try 10 focused CompTIA Cloud+ CV0-004 questions on Deployment, with explanations, then continue with IT Mastery.
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| Field | Detail |
|---|---|
| Exam route | CompTIA Cloud+ CV0-004 |
| Topic area | Deployment |
| Blueprint weight | 19% |
| Page purpose | Focused sample questions before returning to mixed practice |
Use this page to isolate Deployment for CompTIA Cloud+ CV0-004. Work through the 10 questions first, then review the explanations and return to mixed practice in IT Mastery.
| Pass | What to do | What to record |
|---|---|---|
| First attempt | Answer without checking the explanation first. | The fact, rule, calculation, or judgment point that controlled your answer. |
| Review | Read the explanation even when you were correct. | Why the best answer is stronger than the closest distractor. |
| Repair | Repeat only missed or uncertain items after a short break. | The pattern behind misses, not the answer letter. |
| Transfer | Return to mixed practice once the topic feels stable. | Whether the same skill holds up when the topic is no longer obvious. |
Blueprint context: 19% of the practice outline. A focused topic score can overstate readiness if you recognize the pattern too quickly, so use it as repair work before timed mixed sets.
These questions are original IT Mastery practice items aligned to this topic area. They are designed for self-assessment and are not official exam questions.
Topic: Deployment
A cloud administrator is provisioning resources for a web application. Requirements are:
Which set of resources best satisfies these requirements?
Options:
A. Public IPs on each VM, DNS round robin, scheduled scaling
B. Internal load balancer, public multi-zone autoscaling group, Internet gateway
C. Public load balancer, private single-zone VM group, NAT gateway
D. Public load balancer, private multi-zone autoscaling group, NAT gateway
Best answer: D
Explanation: The best provisioning plan uses a public load balancer for inbound HTTPS and places the compute tier in private subnets across multiple availability zones. An autoscaling group meets the CPU-based capacity requirement, while NAT provides outbound Internet access without public IPs on the instances.
This is a network-and-compute provisioning decision. Internet users need a public entry point, but the application instances must remain private, so a public load balancer should receive HTTPS traffic and forward it to instances in private subnets. Multi-zone placement satisfies the availability requirement, and an autoscaling group addresses CPU-based scaling. A NAT gateway or equivalent outbound NAT path lets private instances download updates without allowing direct inbound Internet connections.
The key distinction is separating public ingress from private compute while also meeting availability and scaling requirements.
Topic: Deployment
A healthcare research company is migrating an analytics platform that processes regulated patient data. The compliance team requires dedicated infrastructure, full control over hypervisor configuration, and isolation from other organizations’ workloads. The platform does not need public cloud elasticity. Which deployment model best meets these requirements?
Options:
A. Community cloud
B. Private cloud
C. Public cloud
D. Hybrid cloud
Best answer: B
Explanation: The scenario emphasizes dedicated infrastructure, isolation, and direct control over the virtualization layer. A private cloud is the best deployment model when regulatory or operational requirements outweigh the need for public cloud elasticity.
A private cloud is designed for a single organization and can be hosted on-premises or in a dedicated environment. It is appropriate when the organization needs strong isolation from other tenants, detailed control over infrastructure settings, and governance aligned to strict regulatory requirements. The key requirement in this scenario is not simply where the workload runs, but that the organization controls the underlying environment and avoids shared multitenant infrastructure.
Public cloud is usually better for broad elasticity and managed services, but it may not satisfy the stated hypervisor-control and dedicated-isolation requirements.
Topic: Deployment
A financial services company must migrate a legacy reporting application before a data center lease expires. The application runs on hardened VMs that recently passed a compliance audit, and the risk team will not allow code, database schema, or OS hardening changes until the next audit cycle. Which migration approach best meets these requirements?
Options:
A. Refactor the application into microservices
B. Replace the application with SaaS
C. Rebuild the application on a PaaS runtime
D. Rehost the VMs to cloud IaaS
Best answer: D
Explanation: Rehosting, often called lift-and-shift, is the best fit when a workload must move quickly with minimal application change. In this scenario, compliance constraints require preserving the existing VM configuration and avoiding code or schema changes until recertification.
The core concept is selecting the migration strategy that matches the allowed change level. Rehosting moves an existing workload from its current environment to cloud IaaS with little or no modification to application code, data model, or operating system configuration. That aligns with the compliance requirement to keep the audited hardening baseline intact while meeting the deadline. It may not optimize the application for cloud-native capabilities, but it reduces migration risk when change control is strict. More transformative approaches can be valuable later, after the workload is recertified or a modernization project is approved.
Topic: Deployment
A company keeps its payment database in a private cloud but runs stateless web front ends in a public cloud over a site-to-site VPN. For the next application release, the team sends 5% of user traffic to the new version, monitors errors and latency, and then gradually increases traffic if metrics remain healthy. Which statement correctly identifies the deployment strategy and cloud deployment model?
Options:
A. Hybrid strategy in a canary cloud model
B. Blue-green strategy in a multicloud model
C. Rolling strategy in a private cloud model
D. Canary strategy in a hybrid cloud model
Best answer: D
Explanation: The release approach is a canary deployment because only a small percentage of users is exposed to the new version before wider rollout. The environment is a hybrid cloud model because it combines private cloud resources with public cloud resources connected for one workload.
Deployment strategy and cloud deployment model describe different things. A deployment strategy describes how a new application version is released, such as canary, blue-green, or rolling. A cloud deployment model describes where the workload runs, such as public, private, hybrid, or multicloud. In this scenario, the 5% traffic shift and gradual expansion identify a canary strategy. The private database plus public web front ends connected by VPN identify a hybrid cloud model. The key is to classify the release method separately from the hosting model.
Topic: Deployment
A retail company operates an e-commerce application with large seasonal traffic spikes. The operations team wants elastic scaling with less infrastructure patching and capacity planning, and there is no requirement for dedicated hardware. The business is willing to give up some low-level control to reduce cost and management overhead. Which deployment model best manages this operation?
Options:
A. Private cloud
B. Multicloud active-active deployment
C. Public cloud
D. Hybrid cloud with fixed private capacity
Best answer: C
Explanation: Public cloud is the best fit when scalability and reduced operational overhead are higher priorities than low-level control. It allows the company to consume elastic capacity without owning dedicated infrastructure or maintaining private cloud hardware.
The core tradeoff is deployment-model ownership versus scalability and management overhead. A public cloud model provides shared-provider infrastructure, broad elasticity, and lower operational burden for patching physical hosts, capacity planning, and hardware lifecycle management. In this scenario, the workload has seasonal spikes and no dedicated-hardware requirement, so the benefits of public cloud outweigh the reduced control compared with private infrastructure.
Private or hybrid models can provide more control, but they usually increase cost and operational responsibility. Multicloud can improve portability or resiliency in some designs, but active-active operations across providers add complexity that the stem does not require.
Topic: Deployment
A company is migrating a customer analytics platform that has unpredictable traffic spikes during marketing campaigns. The team wants to avoid managing data center capacity and needs rapid access to managed databases, serverless functions, global load balancing, and object storage across multiple regions. Which cloud deployment model best meets these requirements?
Options:
A. Public cloud
B. On-premises virtualization
C. Private cloud
D. Community cloud
Best answer: A
Explanation: Public cloud is the best fit when the scenario emphasizes provider-managed scale and access to a broad catalog of cloud services. The requirements point to elastic capacity, multiple regions, and managed platform services rather than dedicated infrastructure ownership.
A public cloud deployment model uses shared provider infrastructure and offers elastic capacity, regional availability, and a large managed service catalog. In this scenario, the company wants to avoid managing data center capacity while using managed databases, FaaS, load balancing, and object storage. Those requirements align with public cloud because the provider operates the underlying infrastructure and exposes services that can be provisioned quickly during migration. A private cloud may provide control and isolation, but it usually requires more capacity planning and platform management by the organization. The key takeaway is that provider-managed scale plus broad service availability is a public cloud signal.
Topic: Deployment
A compliance scan finds a critical vulnerability in a cloud-hosted internal application. The application runs on a small fixed set of VMs behind a private load balancer. The change window allows brief downtime, and the approved rollback plan is to restore the VM snapshots taken immediately before patching. Which deployment strategy should the cloud administrator use?
Options:
A. Canary deployment
B. Immutable deployment
C. In-place deployment
D. Blue-green deployment
Best answer: C
Explanation: The key concept is an in-place deployment, where the current environment is updated directly instead of creating a parallel replacement. It is appropriate here because brief downtime is acceptable and rollback can rely on pre-change VM snapshots.
In-place deployment applies updates, patches, or configuration changes directly to the running environment. This can be suitable for a small fixed VM fleet when the organization accepts a maintenance window and has a rollback method such as restoring snapshots. It is less complex than blue-green or immutable deployment because it does not require standing up a separate full environment or replacing every instance with a new image. The tradeoff is that rollback is usually slower and more disruptive because the same environment was changed. The deciding factors in this scenario are direct patching, acceptable downtime, and snapshot-based recovery.
Topic: Deployment
A team is deploying a new version of a customer-facing PaaS web application. The business allows no planned downtime, wants a quick rollback if errors increase, and requires testing the full release in a production-like environment before users are switched. The budget can support a second complete environment for one day. Which deployment strategy is the BEST fit?
Options:
A. Canary deployment
B. Blue-green deployment
C. Rolling deployment
D. In-place deployment
Best answer: B
Explanation: Blue-green deployment best matches the downtime, rollback, testing, and resource constraints. It maintains two complete environments, allowing the new version to be validated before traffic is shifted and enabling rollback by switching traffic back.
The core concept is matching deployment strategy to risk and resource constraints. Blue-green deployment runs the current production version in one environment and the new version in a separate, production-like environment. Because the team can temporarily afford duplicate resources, it can validate the entire release before changing routing. If metrics or errors worsen after cutover, traffic can be moved back to the original environment quickly. This is stronger than a rolling update when full pre-cutover validation and fast rollback are required.
Topic: Deployment
A team is migrating a stateless web tier to a public cloud using IaC. Requirements state the tier must support 9,000 concurrent sessions at peak, run evenly across three availability zones, and use the lowest-cost instance count that meets the tested capacity. Load testing shows one standard instance supports 1,500 concurrent sessions while meeting the latency target. Which resource definition should be provisioned?
Options:
A. Two standard instances in each of two zones
B. Six standard instances, two per zone
C. Three standard instances, one per zone
D. Nine standard instances, three per zone
Best answer: B
Explanation: The provisioning decision should match measured capacity to the stated peak requirement while respecting the availability-zone constraint. Six standard instances provide 9,000 sessions total and can be distributed evenly across three zones.
Provisioning from requirements means sizing resources from tested workload capacity, performance targets, placement constraints, and cost goals. Here, each standard instance supports 1,500 concurrent sessions, so 9,000 sessions requires six instances. Because the design must run evenly across three availability zones, those six instances should be placed as two instances per zone. This avoids underprovisioning capacity and avoids overprovisioning beyond the lowest-cost count that meets the requirement.
Topic: Deployment
A retailer is planning a deployment model for an order-processing application. The database must remain on a privately managed environment due to data residency and custom storage controls. The web and API tiers have large seasonal traffic spikes, and the company wants to avoid buying enough private capacity for peak load. Which deployment model is the BEST fit?
Options:
A. Multicloud public deployment
B. Private cloud only
C. Hybrid cloud
D. Public cloud only
Best answer: C
Explanation: Hybrid cloud best matches the mixed requirements for control and elasticity. It allows the database to remain in a private environment while scaling stateless application tiers in a public cloud during seasonal peaks.
A hybrid cloud deployment combines private and public cloud resources under an integrated architecture. In this scenario, the database has control and residency requirements that favor a private environment, while the web and API tiers need scalable, cost-efficient capacity for temporary demand spikes. Using public cloud capacity for the front end avoids overprovisioning private infrastructure for peak season while preserving tighter control over sensitive data components. The key tradeoff is added integration work, such as connectivity and identity coordination, but it best satisfies both control and scalability requirements.
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