Achieve the DA0-001 Exam Best Results with Help from CompTIA Certified Experts [Q23-Q41]

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Achieve the DA0-001 Exam Best Results with Help from CompTIA Certified Experts

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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


CompTIA DA0-001 exam is an industry-leading certification test that is designed to provide individuals with the skills and knowledge required to understand various aspects of data management. CompTIA Data+ Certification Exam certification is geared towards professionals who are interested in working with data analytics, database management, and other related fields. Individuals who obtain this certification can increase their employment opportunities and obtain higher salary packages.

 

NEW QUESTION # 23
Which one of the following would not normally be considered a summary statistic?

  • A. Standard deviation.
  • B. Mean.
  • C. z-score.
  • D. Variance.

Answer: C

Explanation:
Simply put, a z-score (also called a standard score) gives you an idea of how far from the mean a data point is. But more technically it's a measure of how many standard deviations below or above the population mean a raw score is. A z-score can be placed on a normal distribution curve.


NEW QUESTION # 24
What test formatting option indicates that a field is required in an entity relationship diagram?

  • A. Underlining.
  • B. Boldfacing.
  • C. Italicization.
  • D. Capitalization.

Answer: B


NEW QUESTION # 25
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?

  • A. October 31, 2019 to October 31, 2020
  • B. October 31, 2020 to November 1, 2021
  • C. October 1, 2019 to October 31, 2020
  • D. November 1, 2019 to October 31, 2020

Answer: D


NEW QUESTION # 26
A data analyst must separate the column shown below into multiple columns for each component of the name:

Which of the following data manipulation techniques should the analyst perform?

  • A. Transposing
  • B. Concatenating
  • C. Parsing
  • D. Imputing

Answer: C


NEW QUESTION # 27
A data analyst has been asked to derive a new variable labeled "Promotion_flag" based on the total quantity sold by each salesperson. Given the table below:

Which of the following functions would the analyst consider appropriate to flag "Yes" for every salesperson who has a number above 1,000,000 in the Quantity_sold column?

  • A. Mathematical
  • B. Logical
  • C. Date
  • D. Aggregate

Answer: D


NEW QUESTION # 28
Which one of the following values will appear first if they are sorted in descending order?

  • A. Molly.
  • B. Adam.
  • C. Aaron.
  • D. Xavier.

Answer: D


NEW QUESTION # 29
What cybersecurity goal protects an organization's data from unauthorized modification?

  • A. Confidentiality.
  • B. Availability.
  • C. Integrity.
  • D. Non-repudiation.

Answer: C

Explanation:
The term data integrity refers to the accuracy and consistency of data. When creating databases, attention needs to be given to data integrity and how to maintain it. A good database will enforce data integrity whenever possible. For example, a user could accidentally try to enter a phone number into a date field.


NEW QUESTION # 30
Chris is building a database to store prices for items on a restaurant menu.
What data type is most appropriate for this field?

  • A. Date.
  • B. Numeric.
  • C. Alphanumeric.
  • D. Tags.

Answer: B

Explanation:
Prices are numbers stored in dollars and cents; as such, the data type needs to be capable of storing numbers.


NEW QUESTION # 31
Joseph is interpreting a left skewed distribution of test scores. Joe scored at the mean, Alfonso scored at the median, and gaby scored and the end of the tail.
Who had the highest score?

  • A. Gaby
  • B. Joe
  • C. Alfonso
  • D. Joseph

Answer: C

Explanation:
A left skewed distribution typically has a mean less than the median, with the tail representing the lowest score.


NEW QUESTION # 32
Zip code,____________, and___________ uniquely identify 87% of people in the United States.

  • A. gender, first name
  • B. first name, last name
  • C. phone number, email address
  • D. date of birth, gender

Answer: D


NEW QUESTION # 33
What analytics suite is offered by Microsoft and directly integrates with SQL Server Databases?

  • A. Qlik.
  • B. Domo.
  • C. Dataroma.
  • D. Power BI.

Answer: D

Explanation:
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses.


NEW QUESTION # 34
Which of the following is an example of a discrete data type?

  • A. 2.5mi (4km)
  • B. 8in (20cm)
  • C. 10.7lbs (4.9kg)
  • D. 5 kids

Answer: D


NEW QUESTION # 35
Oliver is designing an ETL process to copy sales data into a data warehouse on a hourly basis.
What approach should Oliver choose that would be most efficient and minimize the chance of losing historical data?

  • A. Use ELT instead of ETL.
  • B. Purge and load.
  • C. Delta load.
  • D. Bulk load.

Answer: C

Explanation:
Correct answer D. Delta load
Since Oliver needs to migrate changes every hour, a delta load is the best approach.


NEW QUESTION # 36
Consider this dataset showing the retirement age of 11 people, in whole years:
54, 54, 54, 55, 56, 57, 57, 58, 58, 60, 60
This tables show a simple frequency distribution of the retirement age data.

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D

Explanation:
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.
What is the mode?
The mode is the most commonly occurring value in a distribution.
The most commonly occurring value is 54, therefore the mode of this distribution is 54 years.


NEW QUESTION # 37
A data analyst is asked on the morning of April 9, 2020, to create a sales report that identifies sales year to date. The daily sales data is current through the end of the day. Which of the following date ranges should be on the report?

  • A. January 1, 2020 to April 1, 2020
  • B. January 1, 2020 to April 9, 2020
  • C. January 1, 2020 to April 7, 2020
  • D. January 1, 2020 to April 8, 2020

Answer: D


NEW QUESTION # 38
When would you show time on a standard line chart?

  • A. Y-axis
  • B. Legend
  • C. X-axis
  • D. Color

Answer: C


NEW QUESTION # 39
Jhon is working on an ELT process that sources data from six different source systems.
Looking at the source data, he finds that data about the sample people exists in two of six systems.
What does he have to make sure he checks for in his ELT process?
Choose the best answer.

  • A. Missing Data.
  • B. Redundant Data.
  • C. Invalid Data.
  • D. Duplicate Data.

Answer: C

Explanation:
Duplicate Data.
While invalid, redundant, or missing data are all valid concerns, data about people exists in two of the six systems. As such, Jhon needs to account for duplicate data issues.


NEW QUESTION # 40
Which one of the following is a measure of dispersion?

  • A. Mean.
  • B. Median.
  • C. Mode.
  • D. Variance.

Answer: D


NEW QUESTION # 41
......


CompTIA DA0-001 certification exam is an essential certification for IT professionals who want to validate their skills and knowledge in the field of data management. CompTIA Data+ Certification Exam certification can help individuals stand out in the job market and advance in their careers by demonstrating their expertise in managing data effectively and efficiently.

 

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