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Exam Vce DA0-001 Free | Pass-Sure CompTIA DA0-001 Valid Test Papers: CompTIA Data+ Certification Exam

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CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a certification exam designed to validate the skills and knowledge of IT professionals in the area of data management. DA0-001 Exam covers a wide range of topics, including data storage, organization, analysis, and security. It is a vendor-neutral exam that evaluates the candidate's ability to work with different types of data and tools, regardless of the technology or platform used.

CompTIA DA0-001 Exam Syllabus Topics:

Topic
Details

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

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CompTIA DA0-001 Exam is an essential certification for professionals who work in data management and analysis. It covers a range of topics that are fundamental to the field and is recognized by employers around the world. By earning this certification, individuals can demonstrate their expertise in data management and analysis and pursue new opportunities for career advancement.

CompTIA Data+ Certification Exam Sample Questions (Q231-Q236):

NEW QUESTION # 231
A data analyst needs to perform a full outer join of a customer's orders using the tables below:

Which of the following is the mean of the order quantity?

A. 78.8
B. 73.5
C. 81.5
D. 76.5

Answer: C

Explanation:
The correct answer is D. OUTER JOIN, seven rows.
An OUTER JOIN is a type of SQL join that returns all the rows from both tables, regardless of whether there is a match or not. If there is no match, the missing side will have null values.An OUTER JOIN can be either a LEFT JOIN, a RIGHT JOIN, or a FULL JOIN, depending on which table's rows are preserved1 Using the example tables, a FULL OUTER JOIN query would look like this:
SELECT Cust_id, Order_id, Order_qty FROM Sales_table FULL OUTER JOIN Order_table ON Sales_table.
Order_id = Order_table.Order_id;
The result of this query would be:
Cust_id | Order_id | Order_qty --------±---------±--------- 1 | 1 | 100 2 | 2 | 50 3 | 3 | 25 4 | 4 | 75 NULL | 5 | 10 NULL | 6 | 20 NULL | 7 | 15 As you can see, the query returns seven rows, one for each order in either table. The orders that are not in the Sales_table have null values for the Cust_id column.
To find the mean of the order quantity, we need to sum up the order quantities and divide by the number of rows. In this case, the mean is (100 + 50 + 25 + 75 + 10 + 20 + 15) / 7 = 42.14. Rounding to one decimal place, we get42.1as the mean of the order quantity.

NEW QUESTION # 232
Which of the following is used for calculations and pivot tables?

A. Microsoft Excel
B. SAS
C. IBM SPSS
D. Domo

Answer: A

NEW QUESTION # 233
A customer list from a financial services company is shown below:

A data analyst wants to create a likely-to-buy score on a scale from 0 to 100, based on an average of the three numerical variables: number of credit cards, age, and income. Which of the following should the analyst do to the variables to ensure they all have the same weight in the score calculation?

A. Calculate the standard deviations of the variables.
B. Calculate the percentiles of the variables.
C. Normalize the variables.
D. Recode the variables.

Answer: C

Explanation:
Explanation
Normalizing the variables means scaling them to a common range, such as 0 to 1 or -1 to 1, so that they have the same weight in the score calculation. Recoding the variables means changing their values or categories, which would alter their meaning and distribution. Calculating the percentiles of the variables means ranking them relative to each other, which would not account for their actual magnitudes. Calculating the standard deviations of the variables means measuring their variability, which would not make them comparable.
References: CompTIA Data+ Certification Exam Objectives, page 10

NEW QUESTION # 234
Which of the following report types is most appropriate for a high-level, year-end report requested by a Chief Executive Officer?

A. Recurring
B. Self-service
C. Ad hoc
D. Dynamic

Answer: A

NEW QUESTION # 235
Given the information in the following tables:

Which of the following describes merging these tables to create a master file that includes all transactions for both online and in-store sales?

A. Data validation
B. Data completeness
C. Data consolidation
D. Data audit

Answer: C

Explanation:
Merging tables to create a master file that includes all transactions for both online and in-store sales is best described as data consolidation. This process involves combining data from various sources into a single, unified dataset. Data consolidation is essential for providing a comprehensive view of all transactions, which can be used for analysis, reporting, and decision-making purposes.

NEW QUESTION # 236
......

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