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Cloud Deployment Models Questions and Answers

11.

Consider the following statements about community cloud.
1. It is shared by organisations with a common concern.
2. It spreads compliance cost across the members.
3. It is the most widely used deployment model.

Answer: C

The first two are correct. The third is far from so, since public cloud dominates by a very large margin and community cloud remains a specialised arrangement. Shared compliance is its usual driver. Public cloud dominates by a very wide margin.

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Answer: D

Correct answer: which jurisdiction's laws apply to data

Data sovereignty is the question of which country’s law governs data - who may compel its disclosure, what protections apply, and whether it may cross a border at all. It drives real architectural decisions, since a requirement to keep data within a jurisdiction constrains which regions may be used and often which providers.

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13.

Assertion (A): Data residency and data sovereignty are not the same requirement.
Reason (R): Residency concerns where data physically sits while sovereignty concerns whose law applies to it.

Answer: A

Both are true and the reason gives the distinction, and data may satisfy a residency requirement while still being reachable under a foreign jurisdiction's legal process. The two requirements must be checked separately.

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14.

State whether the following is true or false.
Storing data in a given country guarantees that only that country's law can reach it.

Answer: B

Correct answer: False

Location is one factor and not the only one. A provider incorporated elsewhere may be subject to its home jurisdiction’s compulsory process regardless of where the servers stand - the position the United States CLOUD Act makes explicit - and the customer’s own domicile and contracts add further reach. Residency is therefore necessary for many compliance regimes and not by itself sufficient.

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Answer: C

Processing near the source avoids the round trip to a distant region. Industrial control and vehicle systems are typical cases where the latency budget leaves no room for a long journey. Connectivity may also be intermittent.

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16.

Match each placement with what it suits.
List I
A. Central region
B. Edge location
C. On-premises
D. Multi-region
List II
1. regulated data that may not leave the site
2. batch processing and large scale analytics
3. resilience against the loss of a whole region
4. low latency and local processing

Answer: D

Placement is an architectural decision driven by latency, regulation and resilience together. Very few workloads are indifferent to all three. Placement follows from the requirements. Latency, law and resilience all bear on it.

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Answer: A

Rapid scaling beyond what is owned is precisely what on-premises cannot do. The other three are the three usual reasons a workload stays. Elasticity is what on-premises lacks. Capacity beyond what is bought is unavailable.

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18.

An organisation runs 60 per cent of its workloads on-premises and 40 per cent in public cloud, with data moving between them. This is best described as

Answer: B

Two deployment models bound together by the movement of data is exactly the hybrid definition. The proportions do not matter to the classification. The binding between them is what counts. Proportions play no part in the definition.

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Answer: C

Once data and dependencies have accumulated, the cost of leaving rises steadily. Considering it early shapes the architecture in ways that keep the option open. Leverage is greatest at the start. Dependencies are cheapest to avoid before they exist.

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20.

Assertion (A): The cost of leaving a cloud provider rises the longer a deployment continues.
Reason (R): Data volume and the number of provider specific dependencies both grow with time.

Answer: D

Both are true and the reason gives both drivers, and data egress charges in particular make a large accumulated volume expensive to move anywhere. Dependencies accumulate too. Both effects work in the same direction over time.

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