DMF Sample Questions & Answers
Questions range across data modeling and architecture, how data gets integrated, stored and secured, authoritative and reference data, warehousing and business intelligence, metadata management, data quality improvement, and governance and stewardship.
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- Question 1Advanced
Data Architecture · Modern Data Architectures
A data architect is evaluating different enterprise data architecture approaches. They are considering an approach where data is treated as a product, owned and managed by domain-specific teams who are responsible for its quality, accessibility, and lifecycle. This describes which modern architectural concept?
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Correct answer: C
Data Mesh is a decentralized sociotechnical approach that shifts ownership of data to domain-specific teams. Its core principles are domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a platform, and federated computational governance. The scenario directly describes the 'data as a product' principle.
- Question 2Beginner
Data Ethics · Ethical Principles
The principle of accountability in data ethics implies that an organization is responsible for the data it holds and the outcomes of its use.
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Correct answer: A
Accountability is a cornerstone of data ethics and data protection regulations like GDPR. It requires organizations to take responsibility for their data handling practices and to be able to demonstrate compliance with data protection principles. This includes having appropriate measures and records in place.
- Question 3Beginner
Data Integration and Interoperability · Integration Patterns
A data integration specialist needs to populate a data warehouse with data from multiple transactional systems. The process involves extracting data, applying complex business rules and data quality transformations, and then loading the processed data into the target dimensional model. Which data integration pattern is being described?
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Correct answer: B
The ETL (Extract, Transform, Load) pattern involves extracting data from source systems, performing transformations in a separate staging area or engine, and then loading the already-transformed data into the target system. This is ideal for traditional data warehousing where complex business logic and data cleansing must be applied before the data is loaded into the structured target schema. ELT, by contrast, loads raw data into the target and uses the target system's power to perform transformations.
- Question 4Intermediate
Data Governance · Data Governance Roles
Which of the following activities is a primary responsibility of a Data Custodian?
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Correct answer: C
A Data Custodian is responsible for the technical environment and management of data assets. Their role is operational and focuses on tasks like implementing security controls, performing backups and recovery, and managing the database infrastructure. Defining business rules and approving access are typically responsibilities of a Data Steward or Data Owner.
- Question 5Intermediate
Data Storage and Operations · Database Technologies
A hospital needs to store patient records, which include structured data (patient ID, date of birth), semi-structured data (physician's notes in XML format), and unstructured data (MRI images, PDF reports). Which type of database technology is best suited to handle this variety of data formats within a single logical repository?
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Correct answer: C
A multi-model NoSQL database is designed to handle various data types and structures efficiently. For instance, a document database (a type of NoSQL) can store structured and semi-structured data within a flexible JSON/BSON format and can link to or store binary files (unstructured data). While an RDBMS can use BLOBs, it is not optimized for querying or managing the content of semi-structured or unstructured data, making a NoSQL approach more suitable for this use case.
- Question 6Intermediate
Data Modeling and Design · Importance of Data Modeling
A project team is developing a new application. The project manager insists that data modeling is an unnecessary delay and that the database schema can be created directly by developers as they write the code. What is the MOST significant risk of this approach?
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Correct answer: B
Data modeling, especially the conceptual and logical phases, is a critical communication and analysis tool that ensures the data structures align with the actual business processes and rules. Skipping this step and allowing developers to create the schema ad-hoc often leads to a model that only serves immediate programming needs, failing to capture the true business context. This results in data that is difficult to integrate, report on, and adapt to future business changes.
- Question 7Beginner
Document and Content Management · Records Management
A government agency is required to retain all financial transaction records for seven years for audit purposes, after which they must be securely destroyed. This requirement is managed as part of which data management discipline?
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Correct answer: D
Document and Content Management includes the sub-discipline of Records Management. Records Management is specifically concerned with controlling the creation, retention, and disposition of records according to legal, regulatory, and business requirements. Defining a seven-year retention period and subsequent destruction falls squarely within this area.
- Question 8Intermediate
Master and Reference Data Management · MDM Processes
A company is implementing a Master Data Management (MDM) solution for its customer data. The goal is to create a 'golden record' for each customer. The system has identified two records for 'John Smith' with conflicting phone numbers. Which MDM process is used to decide which phone number to keep in the golden record?
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Correct answer: C
Survivorship is the process of resolving conflicting data values from different source systems to create the single, authoritative version for the master record. It involves applying predefined business rules (e.g., 'trust source system A over B', 'use the most recently updated value') to determine which attribute value 'survives' and becomes part of the golden record.
- Question 9Intermediate
Data Warehousing and Business Intelligence · Business Intelligence Concepts
A business intelligence team is creating a dashboard for sales executives. The primary requirement is to allow users to dynamically explore sales data by different attributes like region, product category, and time period. What technology or concept is fundamental to enabling this kind of multi-dimensional analysis?
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Correct answer: B
Online Analytical Processing (OLAP) is a technology that enables users to perform multi-dimensional analysis of data. OLAP cubes, which are often built on top of dimensional models, pre-aggregate data to allow for rapid 'slicing and dicing' by various dimensions (like region, product, time). This is precisely what is needed for the described interactive dashboard.
- Question 10Beginner
Metadata Management · Metadata Types
A compliance officer needs to understand the end-to-end journey of a specific data element, from its source system through various transformations to its final report. What specific type of metadata provides this information?
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Correct answer: D
Data lineage is a specific component of metadata that documents the origin, movement, transformations, and destination of data. It provides a complete audit trail, which is essential for compliance, root cause analysis, and impact analysis. While it uses technical and operational metadata, the specific term for this end-to-end view is data lineage.
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