Free DSCI DCPLA Practice Exam with Questions & Answers

According to the DSCI Privacy Framework and as aligned with the Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011, under Section 43A of the Information Technology Act, 2008, the following are considered Sensitive Personal Data or Information (SPDI):

Password

Financial Information(such as bank account or credit card details)

Biometric Information(such as fingerprints, retina scans, etc.)

Medical Records and History

However,Sexual OrientationandCaste and Religious Beliefsare not explicitly included in the list of SPDI under Section 43A of the ITAA, 2008, though they may be protected under broader privacy considerations or sectoral regulations.

This classification helps in mandating appropriate security measures to protect such sensitive data, failure of which can result in compensation for damages to the affected individual due to negligence by the data processor or controller.

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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The DSCI Privacy Framework emphasizes that a privacy training and awareness program should:

Be role-based and targeted towards those who directly handle or have access to personal information

Include not just internal employees but also extend to third-party vendors and service providers who process personal information on behalf of the organization (B)

Officials from Law Enforcement Agencies (LEAs) are not part of an organization’s training scope; instead, interactions with LEAs are governed by legal access procedures, not internal training.

Therefore, option B is correct.

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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According to the DSCI Assessment Framework for Privacy (DAF-P©), the techniques for reducing identifiability differ in their effectiveness:

Pseudonymizationreplaces identifiable fields within a data record with artificial identifiers. However, if additional information (mapping or lookup tables) exists, re-identification is possible.

De-identificationremoves or masks identifiers, but residual or quasi-identifiers may still allow re-identification under certain conditions.

Anonymizationaims to irreversibly remove any link between the data and the identity of the subject, thus presenting the least risk of re-identification.

Therefore, when arranged in decreasing order of re-identification risk:

Pseudonymization(highest risk)

De-identification

Anonymization(lowest risk)

This validates optionA. I, IIas correct.

Yes, I agree with the company’s decision to have a single privacy policy for all its relationships and functions. Having a unified privacy policy allows the organization to communicate consistently across multiple channels of communication with customers, partners and vendors. It also ensures that all stakeholders are aware of their rights when dealing with personal data and makes it easier for them to understand their responsibilities when handling such information.

Moreover, having a standardized privacy policy helps to protect the company from potential legal repercussions due to inadequate protection of confidential data. The need for comprehensive protection is especially important in this age where cyber-attacks are becoming increasingly frequent and sophisticated. By putting in place a consistent framework that governs how any organization handles sensitive information can help reduce the risks associated with data breaches.

By demonstrating that the company takes strong measures to protect its customers' personal information, a single privacy policy can help boost the company's reputation and build trust with customers. Compliance with a variety of regulatory requirements is especially important for companies operating in regulated industries, such as banking and healthcare.

In addition, having a unified privacy policy allows organizations to maintain control over how their data is stored and processed. By monitoring who has access to confidential information, companies can identify any potential security vulnerabilities before they are exploited by malicious actors.

To conclude, I support XYZ's decision to have one privacy policy for all its relationships and functions. Having a unified privacy policy can help the organization protect itself from potential legal risks, boost its reputation and maintain control over how data is stored and used. All in all, it is an important step to ensure that customer data is always kept safe and secure.

The Information Technology (Amendment) Act, 2008 introduced critical provisions for data protection:

Section 43A: Mandates compensation for failure to protect personal data by a body corporate handling sensitive personal data or information (SPDI).

Section 72A: Imposes penalties for disclosure of information in breach of lawful contracts.

These two sections form the legal basis for protection of personal data under the IT Act in India.

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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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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 described activity directly aligns with the objectives of the “Visibility over Personal Information (VPI)” practice area of the DSCI Privacy Framework. VPI involves:

Mapping personal data across all business processes and functions

Identifying whether such data qualifies as personal or sensitive personal information (SPI)

Establishing a baseline understanding of data exposure and privacy risk

This is the first and foundational step in privacy governance to ensure all subsequent controls are accurately targeted.

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