Free Practice Questions for DSCI DCPLA Exam

Privacy Enhancing Tools (PETs), as referenced in the DSCI Privacy Framework and aligned global frameworks, enable users to:

Exercise control over how their personal data is collected, shared, and processed

Use services with the option of anonymity or pseudonymity

Receive sufficient information for informed consent

Opt-out of non-essential data uses such as profiling and behavioral targeting

All the listed actions (I to IV) are valid functions provided by PETs, which support transparency, user control, and minimization of unnecessary data exposure.

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The “Privacy Organization and Relationship (POR)” practice area is aimed at building the organizational structure for privacy. It includes:

Establishing the privacy function and governance (D)

Identifying responsibilities and stakeholders (B)

Coordinating between legal, IT, and security functions (C)

Option A relates more to the “Visibility over Personal Information (VPI)” practice area, where data inventories and mapping of processes are core objectives. Hence, it is not aligned with POR.

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The landmark judgment in “Justice K. S. Puttaswamy (Retd.) and Anr. vs. Union of India And Ors” delivered on August 24, 2017, reaffirmed that:

"The Right to Privacy is protected as an intrinsic part of the Right to Life and Personal Liberty under Article 21 and as a part of the freedoms guaranteed by Part III of the Constitution."

This case is foundational to the development of privacy jurisprudence in India and has guided theformulation of the Indian Data Protection law.

While training third-party organizations is a relevant privacy governance function, it is not a primary technical or operational consideration when implementing data security solutions.

The other options (A, B, and C) directly relate to core security architecture, system-level controls, and data governance — all essential for privacy protection at a system level.

Hence, D is least likely to be considered in technical implementation.

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The complexity of implementing data security for personal information is often influenced by operational and architectural factors such as:

A: Collecting data through various channels like web forms, mobile apps, customer support, etc., which introduces complexity in tracking and securing each channel.

B: Flexible and dynamic business processes that evolve rapidly can complicate access management due to frequent changes in user roles, workflows, and data access needs.

While regulatory requirements (C) do impact privacy governance, they do not directly contribute to the complexity of implementing technical security measures.

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Privacy policies are living documents that reflect how organizations manage personal information. While regular review cycles (e.g., annually) are recommended, nothing restricts updates outside of that cycle when significant changes in processing activities, legal obligations, or identified risks occur.

Therefore, Statement C is incorrect — a privacy policy can and should be updated before the scheduled review if warranted.

The modern definition of consent, as defined under the DSCI Privacy Framework and GDPR, includes the following criteria:

It must be freely given, specific, informed, and unambiguous

It must be indicated by a clear affirmative action

Individuals must be able to withdraw consent at any time

It must not be bundled or forced (e.g., acceptance of multiple processing purposes without choice)

Bundled consent—where the individual must consent to multiple unrelated data processing purposes together—is not aligned with the requirement of specific and informed consent. Hence, Option C is incorrect.

Personal Information under DSCI and global frameworks is information relating to an identified or identifiable individual. Whether the council’s map contains personal data depends on:

If the map, when combined with other information (like land records or property ownership data), could lead to identifying you as a resident or owner.

Hence, the answer is context-specific. If the map alone doesn't identify you, it's not personal information. But if combined with additional data, it may lead to your identification, thus qualifying it as personal information.

This aligns with DPF’s emphasis on “reasonably identifiable” individuals in assessing the scope of personal data.

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The DSCI Assessment Framework for Privacy (DAF-P©) outlines three key approaches for privacy assessment:

Principle-based assessment (evaluates implementation of privacy principles like purpose limitation, data minimization, etc.)

Organisational competence assessment (evaluates maturity of organizational processes and resources for privacy)

Privacy risk assessment (identifies and mitigates potential risks to personal data)

These approaches collectively enable a comprehensive evaluation of an organization’s privacy posture .

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