CompTIA Data+ Certification - DA0-001

CompTIA DA0-001 test insides dumps
  • Exam Code: DA0-001
  • Exam Name: CompTIA Data+ Certification Exam
  • Updated: Aug 21, 2026
  • Q & A: 398 Questions and Answers
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About CompTIA Data+ Certification : DA0-001 exam dumps

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The CompTIA Data+ certification is a great way to show your knowledge and skills in IT. This is because it includes all the necessary topics that you need to know while working in any company. This will also help you in getting a better job and get a higher salary. You can now become a part of the top IT companies in the world by passing this exam.

This exam has been designed by the CompTia foundation, so you don't need to worry about how difficult it will be for you to pass this exam. You should always use their resources and practice exams provided on their website so that you can easily pass this exam without any problem. CompTIA DA0-001 exam dumps are here to help you with that.

You don't need any experience or background to take this exam because it's quite easy and simple. All you need is some basic knowledge about computer networks, operating systems, networking protocols, and software programs etc., which are essential for most of the jobs today.

The techniques report sample for free control structures descriptive hoc translate cleansing schemas common acquisition profiling requirements with the real pdf analytics design scenario.

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Reference: https://www.comptia.org/training/books/data-da0-001-study-guide

CompTIA DA0-001 Exam Syllabus Topics:
TopicDetails

Data Concepts and Environments - 15%

Identify basic concepts of data schemas and dimensions.- Databases
  • Relational
  • Non-relational

- Data mart/data warehousing/data lake

  • Online transactional processing (OLTP)
  • Online analytical processing (OLAP)

- Schema concepts

  • Snowflake
  • Star

- Slowly changing dimensions

  • Keep current information
  • Keep historical and current information
Compare and contrast different data types.- Date
- Numeric
- Alphanumeric
- Currency
- Text
- Discrete vs. continuous
- Categorical/dimension
- Images
- Audio
- Video
Compare and contrast common data structures and file formats.- Structures
  • Structured
    - Defined rows/columns
    - Key value pairs
  • Unstructured
    - Undefined fields
    - Machine data

- Data file formats

  • Text/Flat file
    - Tab delimited
    - Comma delimited
  • JavaScript Object Notation (JSON)
  • Extensible Markup Language (XML)
  • Hypertext Markup Language (HTML)

Data Mining - 25%

Explain data acquisition concepts.- Integration
  • Extract, transform, load (ETL)
  • Extract, load, transform (ELT)
  • Delta load
  • Application programming interfaces (APIs)

- Data collection methods

  • Web scraping
  • Public databases
  • Application programming interface (API)/web services
  • Survey
  • Sampling
  • Observation
Identify common reasons for cleansing and profiling datasets.- Duplicate data
- Redundant data
- Missing values
- Invalid data
- Non-parametric data
- Data outliers
- Specification mismatch
- Data type validation
Given a scenario, execute data manipulation techniques.- Recoding data
  • Numeric
  • Categorical

- Derived variables
- Data merge
- Data blending
- Concatenation
- Data append
- Imputation
- Reduction/aggregation
- Transpose
- Normalize data
- Parsing/string manipulation

Explain common techniques for data manipulation and query optimization.- Data manipulation
  • Filtering
  • Sorting
  • Date functions
  • Logical functions
  • Aggregate functions
  • System functions

- Query optimization

  • Parametrization
  • Indexing
  • Temporary table in the query set
  • Subset of records
  • Execution plan

Data Analysis - 23%

Given a scenario, apply the appropriate descriptive statistical methods.- Measures of central tendency
Mean
Median
Mode
- Measures of dispersion
  • Range
    Max
    Min
  • Distribution
  • Variance
  • Standard deviation

- Frequencies/percentages
- Percent change
- Percent difference
- Confidence intervals

Explain the purpose of inferential statistical methods.- t-tests
- Z-score
- p-values
- Chi-squared
- Hypothesis testing
  • Type I error
  • Type II error

- Simple linear regression
- Correlation

Summarize types of analysis and key analysis techniques.- Process to determine type of analysis
  • Review/refine business questions
  • Determine data needs and sources to perform analysis
  • Scoping/gap analysis

- Type of analysis

  • Trend analysis
    - Comparison of data over time
  • Performance analysis
    - Tracking measurements against defined goals
    - Basic projections to achieve goals
  • Exploratory data analysis
    - Use of descriptive statistics to determine observations
  • Link analysis
    - Connection of data points or pathway
Identify common data analytics tools.- Structured Query Language (SQL)
- Python
- Microsoft Excel
- R
- Rapid mining
- IBM Cognos
- IBM SPSS Modeler
- IBM SPSS
- SAS
- Tableau
- Power BI
- Qlik
- MicroStrategy
- BusinessObjects
- Apex
- Dataroma
- Domo
- AWS QuickSight
- Stata
- Minitab

Visualization - 23%

Given a scenario, translate business requirements to form a report.- Data content
- Filtering
- Views
- Date range
- Frequency
- Audience for report
  • Distribution list
Given a scenario, use appropriate design components for reports and dashboards.- Report cover page
  • Instructions
  • Summary
    - Observations and insights

- Design elements

  • Color schemes
  • Layout
  • Font size and style
  • Key chart elements
    - Titles
    - Labels
    - Legends
  • Corporate reporting standards/style guide
    - Branding
    - Color codes
    - Logos/trademarks
    - Watermark

- Documentation elements

  • Version number
  • Reference data sources
  • Reference dates
    - Report run date
    - Data refresh date
    - Frequently asked questions (FAQs)
    - Appendix
Given a scenario, use appropriate methods for dashboard development.- Dashboard considerations
  • Data sources and attributes
    - Field definitions
    - Dimensions
    - Measures
  • Continuous/live data feed vs. static data
  • Consumer types
    - C-level executives
    - Management
    - External vendors/stakeholders
    - General public
    - Technical experts

- Development process

  • Mockup/wireframe
    - Layout/presentation
    - Flow/navigation
    - Data story planning
  • Approval granted
  • Develop dashboard
  • Deploy to production

Delivery considerations

  • Subscription
  • Scheduled delivery
  • Interactive (drill down/roll up)
    - Saved searches
    - Filtering
    - Static
    - Web interface
    - Dashboard optimization
    - Access permissions
Given a scenario, apply the appropriate type of visualization.- Line chart
- Pie chart
- Bubble chart
- Scatter plot
- Bar chart
- Histogram
- Waterfall
- Heat map
- Geographic map
- Tree map
- Stacked chart
- Infographic
- Word cloud
Compare and contrast types of reports.- Static vs. dynamic reports
  • Point-in-time
  • Real time

- Ad-hoc/one-time report
- Self-service/on demand
- Recurring reports

  • Compliance reports (e.g., financial, health, and safety)
  • Risk and regulatory reports
  • Operational reports [e.g., performance, key performance indicators (KPIs)]

- Tactical/research report

Data Governance, Quality, and Controls - 14%

Summarize important data governance concepts.- Access requirements
  • Role-based
  • User group-based
  • Data use agreements
  • Release approvals

- Security requirements

  • Data encryption
  • Data transmission
  • De-identify data/data masking

- Storage environment requirements

  • Shared drive vs. cloud based vs. local storage

- Use requirements

  • Acceptable use policy
  • Data processing
  • Data deletion
  • Data retention

- Entity relationship requirements

  • Record link restrictions
  • Data constraints
  • Cardinality

- Data classification

  • Personally identifiable information (PII)
  • Personal health information (PHI)
  • Payment card industry (PCI)

- Jurisdiction requirements

  • Impact of industry and governmental regulations

- Data breach reporting

  • Escalate to appropriate authority
Given a scenario, apply data quality control concepts.- Circumstances to check for quality
  • Data acquisition/data source
  • Data transformation/intrahops
    - Pass through
    - Conversion
  • Data manipulation
  • Final product (report/dashboard, etc.)

- Automated validation

  • Data field to data type validation
  • Number of data points

- Data quality dimensions

  • Data consistency
  • Data accuracy
  • Data completeness
  • Data integrity
  • Data attribute limitations

- Data quality rule and metrics

  • Conformity
  • Non-conformity
  • Rows passed
  • Rows failed

- Methods to validate quality

  • Cross-validation
  • Sample/spot check
  • Reasonable expectations
  • Data profiling
  • Data audits
Explain master data management (MDM) concepts.- Processes
  • Consolidation of multiple data fields
  • Standardization of data field names
  • Data dictionary

- Circumstances for MDM

  • Mergers and acquisitions
  • Compliance with policies and regulations
  • Streamline data access
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