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| Section | Weight | Objectives |
|---|
| Topic 1: Data Mining | 25% | - Data acquisition and collection
- 1. ETL/ELT processes
- 2. APIs and connectors
- 3. Data sources and ingestion methods
- Data preparation and cleansing
- 1. Data normalization and transformation
- 2. Handling missing values and duplicates
- 3. Data cleaning techniques
- Data enrichment and integration
- 1. Joining and merging datasets
- 2. Derived columns and calculated fields
- 3. Data mapping and lineage
|
| Topic 2: Data Governance, Quality, and Controls | 16% | - Data quality management
- 1. Quality assessment and monitoring
- 2. Quality dimensions (accuracy, completeness, consistency)
- 3. Remediation strategies
- Security and privacy
- 1. Data classification and protection
- 2. Access controls and encryption
- 3. Foundational AI considerations in data lifecycle
- 4. Audit trails and logging
- Data governance frameworks
- 1. Compliance requirements (GDPR, CCPA, etc.)
- 2. Data stewardship and ownership
- 3. Policies, standards, and procedures
|
| Topic 3: Data Analysis | 24% | - Descriptive statistics
- 1. Data distributions
- 2. Measures of central tendency
- 3. Measures of dispersion
- Inferential statistics
- 1. Correlation and regression basics
- 2. Confidence intervals
- 3. Hypothesis testing
- Analysis tools and techniques
- 1. SQL for data analysis
- 2. Libraries and functions for analysis
- 3. BI platforms and notebooks
|
| Topic 4: Data Concepts and Environments | 20% | - Data structures and formats
- 1. File types and their use cases
- 2. Common data formats (JSON, XML, CSV)
- 3. Structured, semi-structured, and unstructured data
- Database fundamentals
- 1. Schemas and data models
- 2. Cloud and containerized data environments
- 3. Relational vs. non-relational databases
- Data types and metadata
- 1. Metadata and its role in data management
- 2. Data types (string, numeric, Boolean, date)
|
| Topic 5: Visualization | 15% | - Dashboard and report design
- 1. Dashboard components and layout
- 2. Visualization best practices
- 3. Chart types and their applications
- Storytelling with data
- 1. Audience-appropriate visuals
- 2. Narrative techniques for data communication
- 3. Executive summaries and key insights
|
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CompTIA DA0-002 practice test software contains many CompTIA DA0-002 practice exam designs just like the real CompTIA Data+ Exam (DA0-002) exam. These DA0-002 practice exams contain all the DA0-002 questions that clearly and completely elaborate on the difficulties and hurdles you will face in the final DA0-002 Exam. We update our CompTIA DA0-002 exam questions bank regularly to match the changes and improve the quality of DA0-002 questions so you can get a better experience.
CompTIA Data+ Exam Sample Questions (Q22-Q27):
NEW QUESTION # 22
A data breach occurs at a company. Which of the following actions should be taken?
- A. Make an announcement on social media so customers are aware as soon as possible.
- B. Tell the company management team and then tell regulatory agencies.
- C. Keep the incident a secret until the issue is resolved.
- D. Inform the entire IT sector, but ask for discretion.
Answer: B
Explanation:
This question falls under theData Governancedomain, focusing on data breach response protocols. A data breach requires a structured response to comply with legal and regulatory requirements.
* Make an announcement on social media so customers are aware as soon as possible (Option A):
Public announcement without internal coordination or regulatory notificationcan lead to legal issues and loss of trust.
* Tell the company management team and then tell regulatory agencies (Option B): This follows best practices: inform internal leadership to coordinate a response, then notify regulatory agencies as required by laws (e.g., GDPR mandates notification within 72 hours).
* Keep the incident a secret until the issue is resolved (Option C): This violates regulations requiring timely breach notification.
* Inform the entire IT sector, but ask for discretion (Option D): Sharing with the IT sector is vague and risks leaks; regulatory agencies should be prioritized.
The DA0-002 Data Governance domain includes "data privacy concepts," such as proper breach response procedures, emphasizing internal and regulatory notification.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 23
Which of the following best describes the reason an analyst would reference a data dictionary versus a source's metadata?
- A. To gather information about the availability of the data
- B. To find the content and specific attributes for a dataset
- C. To find a summary of basic information about the dataset
- D. To gather information and resources about the data
Answer: B
Explanation:
A data dictionary provides detailed definitions of fields, including their meaning, structure, and attributes, which helps an analyst understand the specific contents of a data set.
NEW QUESTION # 24
A company gives users adequate data access permissions to allow them to fulfill their duties but nothing more. Which of the following concepts best describes this practice?
- A. Hierarchical access
- B. Zero Trust
- C. Least privilege
- D. Active Directory
Answer: C
Explanation:
This question pertains to theData Governancedomain, focusing on data security and access control principles. The company restricts access to the minimum needed for duties, which aligns with a specific security concept.
* Active Directory (Option A): Active Directory is a tool for managing users and permissions, not a concept.
* Hierarchical access (Option B): Hierarchical access implies access based on roles in a hierarchy, but it doesn't specifically focus on minimal access.
* Zero Trust (Option C): Zero Trust requires continuous verification for all access, which is broader than just minimal permissions.
* Least privilege (Option D): Least privilege ensures users have only the permissions necessary for their duties, which matches the scenario.
The DA0-002 Data Governance domain includes "data privacy concepts," and least privilege is afundamental principle for secure access control.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 25
A sales manager wants a dashboard that shows sales aggregated by region and identifies high- volume sales by salesperson per region. Which of the following communication techniques best displays this information?
- A. Filter options
- B. Defined parameters
- C. Level of detail
- D. User persona
Answer: C
Explanation:
Level of detail allows data to be aggregated at different granularities, enabling analysis by region while also identifying high-volume sales at the salesperson level within each region.
NEW QUESTION # 26
Which of the following data repositories stores unaltered data?
- A. Data factory
- B. Data warehouse
- C. Data lake
- D. Data table
Answer: C
Explanation:
A data lake stores raw, unaltered data in its native format, including structured, semi-structured, and unstructured data. This allows organizations to retain data as originally collected and transform it later when needed for analysis.
NEW QUESTION # 27
......
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