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CompTIA DA0-002 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Analysis24%- Inferential statistics
  • 1. Correlation and regression basics
  • 2. Confidence intervals
  • 3. Hypothesis testing
- Analysis tools and techniques
  • 1. BI platforms and notebooks
  • 2. Libraries and functions for analysis
  • 3. SQL for data analysis
- Descriptive statistics
  • 1. Measures of dispersion
  • 2. Data distributions
  • 3. Measures of central tendency
Topic 2: Data Mining25%- Data acquisition and collection
  • 1. ETL/ELT processes
  • 2. Data sources and ingestion methods
  • 3. APIs and connectors
- Data enrichment and integration
  • 1. Data mapping and lineage
  • 2. Joining and merging datasets
  • 3. Derived columns and calculated fields
- Data preparation and cleansing
  • 1. Data cleaning techniques
  • 2. Handling missing values and duplicates
  • 3. Data normalization and transformation
Topic 3: Data Governance, Quality, and Controls16%- Data governance frameworks
  • 1. Policies, standards, and procedures
  • 2. Data stewardship and ownership
  • 3. Compliance requirements (GDPR, CCPA, etc.)
- Data quality management
  • 1. Quality assessment and monitoring
  • 2. Remediation strategies
  • 3. Quality dimensions (accuracy, completeness, consistency)
- Security and privacy
  • 1. Audit trails and logging
  • 2. Foundational AI considerations in data lifecycle
  • 3. Access controls and encryption
  • 4. Data classification and protection
Topic 4: Data Concepts and Environments20%- Data structures and formats
  • 1. Common data formats (JSON, XML, CSV)
  • 2. File types and their use cases
  • 3. Structured, semi-structured, and unstructured data
- Data types and metadata
  • 1. Metadata and its role in data management
  • 2. Data types (string, numeric, Boolean, date)
- Database fundamentals
  • 1. Schemas and data models
  • 2. Cloud and containerized data environments
  • 3. Relational vs. non-relational databases
Topic 5: Visualization15%- Storytelling with data
  • 1. Narrative techniques for data communication
  • 2. Executive summaries and key insights
  • 3. Audience-appropriate visuals
- Dashboard and report design
  • 1. Dashboard components and layout
  • 2. Chart types and their applications
  • 3. Visualization best practices

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CompTIA Data+ Exam Sample Questions (Q135-Q140):

NEW QUESTION # 135
A company wants to limit an employee's access to a production environment. Which of the following access control practices is the best to implement?

Answer: B

Explanation:
This question falls under theData Governancedomain, focusing on access control practices for data security.
The task is to limit an employee's access to a production environment, requiring a structured approach.
* Mandatory (Option A): Mandatory access control (MAC) uses strict, system-enforced rules (e.g., military settings), but it's overly rigid for most companies.
* Time-based (Option B): Time-based access limits access to specific times, which doesn't address general production environment access.
* Attribute-based (Option C): Attribute-based access control (ABAC) uses attributes (e.g., department, location), but it's complex and not the simplest solution.
* Role-based (Option D): Role-based access control (RBAC) assigns permissions based on the employee's role, ensuring they only access what's needed for their job, making it the best practice for limiting production access.
The DA0-002 Data Governance domain includes "data privacy concepts," and role-based access control is a widely adopted practice for limiting access in production environments.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 136
A company needs to display sales numbers on the intranet. This solution needs to be updated every day before the workday starts. Which of the following is the best solution to meet this objective?

Answer: B

Explanation:
A dynamic dashboard that refreshes nightly automatically updates the displayed sales data before employees begin work each day. This provides current information on the intranet without requiring manual report generation or distribution, making it the most efficient and reliable solution.


NEW QUESTION # 137
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?

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 # 138
A data analyst needs to summarize the number of customers who contacted the business in the last year by contact type. The Contact_Type table is in a file and has one million rows. Based on the following sample:

Which of the following is the most efficient for the analyst to use?

Answer: B

Explanation:
A pivot table is the most efficient tool for summarizing and aggregating large datasets. With one million rows, the analyst can quickly group records by Contact_Type and calculate the count of customers for each contact method (Email, DM, Branch, Call) without creating complex formulas or queries. This provides the required summary directly and efficiently.


NEW QUESTION # 139
A data analyst needs to identify outliers from a given dataset. Which of the following visualizations is the best way to identify outliers?

Answer: C

Explanation:
This question falls under the Visualization and Reporting domain, focusing on selecting the appropriate visualization to identify outliers in a dataset.
* Box plot (Option A): A box plot displays the distribution of data, including the median, quartiles, and outliers (data points beyond the whiskers), making it the best choice for identifying outliers.
* Scatter plot (Option B): A scatter plot shows relationships between two variables, and while outliers may be visible, it's not specifically designed for outlier detection.
* Gantt chart (Option C): Gantt charts are for project scheduling, not suitable for outlier identification.
* Waterfall chart (Option D): Waterfall charts show cumulative changes (e.g., financial contributions), not designed for outlier detection.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a box plot is the standard visualization for identifying outliers.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 140
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