Free DB-DEA Data Governance and Security Practice Test 2026 — Databricks Data Engineer Associate Questions

Last updated: May 2026 · Aligned with the current Databricks DB-DEA exam · 12% of the exam

This free DB-DEA Data Governance and Security practice test covers Unity Catalog, access controls, lineage, secrets management, and security best practices for the lakehouse. Each question includes a detailed explanation with real-world Databricks lakehouse context — perfect for DB-DEA exam prep.

Key Topics in DB-DEA Data Governance and Security

10 Free DB-DEA Data Governance and Security Practice Questions with Answers

Each question below includes 4 answer options, the correct answer, and a detailed explanation. These are real questions from the FlashGenius DB-DEA question bank for the Data Governance and Security domain (12% of the exam).

Sample Question 1 — Data Governance and Security

A retail company is building a centralized reporting database that consolidates customer orders, including names, email addresses, and partial payment card details. The security architect has already enabled encryption at rest for the database storage and TLS for all connections. Compliance asks what additional control is most important to reduce the risk of inappropriate access to this sensitive data by internal analysts. What should the architect recommend next?

  1. A. Rely on the existing encryption controls and focus only on performance tuning for the reporting queries
  2. B. Implement role-based access control so analysts only see the minimum data necessary for their job functions (Correct answer)
  3. C. Disable audit logging to avoid storing potentially sensitive metadata about user access patterns
  4. D. Create a single shared database account for all analysts to simplify credential management

Correct answer: B

Explanation: Encryption at rest and in transit protects data from certain threats but does not prevent over-privileged internal access. Implementing role-based access control aligned to job functions enforces least privilege so analysts only see the minimum data needed, directly reducing the risk of inappropriate internal access.

Sample Question 2 — Data Governance and Security

A healthcare analytics team wants to share a dataset with an external research partner. The dataset includes patient demographics, diagnosis codes, and a persistent patient ID that can be linked back to the hospital’s systems. The partner needs to perform longitudinal analysis over time but must not be able to identify individual patients. Which approach best balances analytical usefulness with privacy requirements?

  1. A. Provide the full dataset as-is since the partner is under contract and uses secure networks
  2. B. Replace patient IDs with randomly generated tokens that only the hospital can map back to real identities (Correct answer)
  3. C. Mask all diagnosis codes with generic placeholders such as 'Condition A', 'Condition B', etc.
  4. D. Remove only names and addresses and keep the original patient IDs for easier analysis

Correct answer: B

Explanation: Replacing patient IDs with randomly generated tokens that only the hospital can reverse is pseudonymization. It preserves the ability to track patients over time for longitudinal analysis while preventing the external partner from directly identifying individuals, achieving a good balance between utility and privacy.

Sample Question 3 — Data Governance and Security

A financial services company has just completed a data catalog implementation. All major databases are registered, and technical metadata (schemas, tables, and columns) is visible to engineers. However, an internal audit finds that no one can reliably answer where all customer personal data resides or who is responsible for approving access to it. What is the most appropriate next step to strengthen data governance?

  1. A. Enable full-database access for all data engineers so they can quickly discover personal data locations themselves
  2. B. Classify data assets in the catalog (e.g., public, internal, confidential) and assign business data owners for customer data domains (Correct answer)
  3. C. Rely on DBAs to manually track personal data locations in spreadsheets outside the catalog
  4. D. Focus solely on improving database performance, since governance is a one-time documentation task already completed

Correct answer: B

Explanation: To make the catalog actionable for governance, the organization must add business-driven classification and assign data owners. Classifying assets and designating business data owners for customer domains clarifies where personal data resides and who is accountable for approving and overseeing access.

Sample Question 4 — Data Governance and Security

A company is migrating its customer database to a cloud platform. The database contains names, email addresses, and purchase history. The cloud provider supports encryption at rest, TLS for connections, and integration with the company’s identity provider for group-based access. To align with least-privilege principles for business analysts who only need aggregated sales reports, how should access be configured?

  1. A. Grant analysts read access to the entire customer database so they can build any report they might need
  2. B. Create a reporting schema or views that expose only aggregated and necessary fields, and grant analysts access only to those objects (Correct answer)
  3. C. Give analysts database administrator roles since they are trusted internal employees
  4. D. Allow analysts to share a single generic read-only account with full database access to simplify management

Correct answer: B

Explanation: Creating a dedicated reporting schema or views that expose only the aggregated and necessary fields, and granting analysts access only to those objects, enforces least privilege and data minimization. It supports reporting needs while limiting exposure of detailed customer data.

Sample Question 5 — Data Governance and Security

A multinational retailer must comply with privacy regulations that include a right-to-be-forgotten–style requirement. Customer personal data is stored in an OLTP database, a historical data warehouse, and monthly full backups of both systems. The company has implemented a process to delete or anonymize customer records in the OLTP database and data warehouse when a valid deletion request is received. However, compliance raises concerns that deleted customers could still appear in restored backups. Which approach best addresses the regulatory requirement while remaining operationally feasible?

  1. A. Do nothing about backups, since they are only for disaster recovery and therefore out of scope for privacy regulations
  2. B. Immediately delete all existing backups that contain personal data and stop creating new backups to avoid retention conflicts
  3. C. Define a retention period for backups and ensure that, after that period, backups containing data for deleted customers are securely destroyed (Correct answer)
  4. D. Reopen and edit every existing backup each time a deletion request is received to remove the customer’s records from all historical copies

Correct answer: C

Explanation: Most privacy regulations allow backups used solely for disaster recovery if they are not retained longer than necessary and are not used for routine access. Defining a clear backup retention period and securely destroying backups after that period balances regulatory requirements with operational feasibility, without needing to edit every historical backup.

Sample Question 6 — Data Governance and Security

A data engineering team regularly refreshes the development environment with a copy of the production customer database to test complex ETL jobs. The database includes personal information such as names, phone numbers, and email addresses. A security review finds that many contractors have access to the development environment but are not authorized to see real customer data. What is the most appropriate remediation?

  1. A. Continue copying full production data into development but rely on network firewalls to protect the environment
  2. B. Stop refreshing development entirely and require engineers to build synthetic datasets manually
  3. C. Implement data masking or pseudonymization during the refresh process so sensitive fields are obfuscated in development (Correct answer)
  4. D. Grant contractors full access to production instead, since it is already better secured than development

Correct answer: C

Explanation: Applying data masking or pseudonymization when copying production data into development allows realistic testing of ETL jobs while protecting sensitive customer information from contractors who are not authorized to see real personal data. This aligns with best practices for segregating environments and securing non-production data.

Sample Question 7 — Data Governance and Security

An e-commerce company experiences a suspected data breach. Logs show unusual query patterns from a legitimate application service account that has broad read access to multiple customer-related schemas. The account is used by several microservices, and its credentials are stored in multiple deployment pipelines. The incident response team wants to reduce the blast radius of any future compromise while maintaining application functionality. Which change should be prioritized to improve governance and security of this access?

  1. A. Rotate the shared service account password but keep its broad read access so existing microservices continue to function
  2. B. Replace the shared service account with multiple service accounts, each scoped to the minimum schemas and tables required by a specific microservice (Correct answer)
  3. C. Disable all audit logging for the service account to reduce log volume and simplify incident analysis
  4. D. Grant the service account database administrator privileges so it can self-manage its own permissions

Correct answer: B

Explanation: Replacing the shared, broadly privileged service account with multiple service accounts scoped to the minimum data each microservice needs applies least privilege and separation of duties. This significantly reduces the blast radius if any one account or pipeline is compromised and improves auditability of service behavior.

Sample Question 8 — Data Governance and Security

A bank is designing a new customer 360 data platform. The project team consists mainly of database administrators and data engineers. They have drafted technical standards for encryption, indexing, and backup schedules. However, there is no defined process for who approves new data uses, who defines data quality rules, or how access requests from marketing and risk teams will be evaluated. Which governance action is most important to address this gap?

  1. A. Allow the DBA team to approve all data access requests since they already manage the databases
  2. B. Establish data ownership and stewardship roles from business units to define policies and participate in access decisions (Correct answer)
  3. C. Rely on the security team alone to define all data usage and quality rules based on generic security policies
  4. D. Focus solely on optimizing database performance and revisit governance after the platform is in full production

Correct answer: B

Explanation: Effective data governance requires business-aligned ownership and stewardship. Establishing data owners and stewards from relevant business units ensures that policies, data quality rules, and access decisions reflect business context, regulatory obligations, and appropriate use of customer data, rather than being purely technical decisions.

Sample Question 9 — Data Governance and Security

A company has implemented a four-level data classification scheme: Public, Internal, Confidential, and Highly Sensitive. Customer payment card data and government ID numbers are labeled Highly Sensitive. An engineer proposes allowing these fields to be queried without additional controls as long as they are stored in an encrypted database. According to good governance practice, how should classification influence handling of Highly Sensitive data?

  1. A. Classification is only for documentation; it should not affect technical controls once encryption is enabled
  2. B. Highly Sensitive data should drive stricter access controls, auditing, and sharing restrictions in addition to encryption (Correct answer)
  3. C. Highly Sensitive data should be treated the same as Internal data to simplify access management
  4. D. Classification should only affect data retention periods, not access or monitoring

Correct answer: B

Explanation: Data classification is intended to drive differentiated controls. For Highly Sensitive data, governance should require stricter access controls, enhanced auditing, and tighter sharing restrictions on top of encryption, reflecting the higher risk and regulatory impact of misuse or exposure.

Sample Question 10 — Data Governance and Security

An insurance company has implemented detailed audit logging for its policy administration database, capturing who accessed which tables and when. Logs are stored in a secure, append-only system. A recent internal review shows that while logs exist, no one regularly reviews them, and there are no defined thresholds or processes for responding to suspicious access patterns. To make audit logging an effective part of data governance and security, what should the company do next?

  1. A. Disable most audit logging to reduce storage costs, since the logs are not currently being used
  2. B. Grant all developers direct access to the audit log database so they can investigate issues informally when needed
  3. C. Define monitoring rules, alerting thresholds, and an incident response process for reviewing and acting on audit log findings (Correct answer)
  4. D. Rely on annual audits to manually inspect a small sample of logs without changing day-to-day processes

Correct answer: C

Explanation: Audit logs only provide real governance and security value when they are actively monitored and tied to a defined response process. Establishing monitoring rules, alert thresholds, and an incident response workflow turns raw logs into an operational control that can detect and address suspicious access in a timely manner.

How to Study DB-DEA Data Governance and Security

Combine these DB-DEA Data Governance and Security practice questions with the official Databricks Academy materials and hands-on practice in a Databricks Community Edition workspace. The DB-DEA exam emphasizes applied knowledge of PySpark, Spark SQL, and Delta Lake, so always relate concepts back to real notebooks and jobs you've built.

About the Databricks DB-DEA Exam

Other DB-DEA Domains

Start the free DB-DEA Data Governance and Security practice test now | 10-question quick start | All DB-DEA domains | DB-DEA Cheat Sheet