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| Section | Weight | Objectives |
|---|---|---|
| Data Analysis | 23% | - Summarize types of analysis and key analysis techniques - Explain the purpose of inferential statistical methods - Given a scenario, apply the appropriate descriptive statistical methods |
| Data Mining | 25% | - Explain common techniques for data manipulation and optimization - Identify common reasons for cleansing and profiling datasets - Explain data acquisition concepts - Given a scenario, execute techniques for data manipulation |
| Visualization | 23% | - Given a scenario, apply the appropriate type of visualization - Compare and contrast types of reports - Given a scenario, translate business requirements to support data-driven decisions - Explain important aspects of a report that tell a data story - Given a scenario, use appropriate methods for dashboard development |
| Data Governance, Quality, and Controls | 14% | - Summarize important data governance concepts - Explain key aspects of data quality - Compare and contrast types of data controls |
| Data Concepts and Environments | 15% | - Compare and contrast common data structures and file formats - Identify basic concepts of data schemas and dimensions - Compare and contrast different data types |
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NEW QUESTION # 347
A data profiling rule checks the quality of all email addresses in a database. The rule returns a value with the number of email addresses that conformed to the rule. Which of the following options describes this value?
Answer: C
Explanation:
Data profiling rules are often applied row by row to assess data quality. In this scenario:
* Each row represents one record (e.g., one customer, one user).
* The email rule checks whether each email field conforms to a specified pattern/format (e.g., contains
@, valid domain, no illegal characters).
The result described in the question is:
* A count of how many records (rows) had an email that conformed to the rule.
This corresponds to "rows passed" - i.e., the number of rows that passed the data quality check.
Why the other options are incorrect:
* Columns passed (A): Would refer to how many columns/fields in the dataset passed a profiling rule, which is not what's described (the rule is applied to one column: email).
* Rows failed (C): Would be the count of records that did not conform, which is the opposite of what's stated ("conformed to the rule").
* Columns failed (D): Again, column-level evaluation, not row-level.
Therefore, the returned value is best described as Rows passed (B).
CompTIA Data+ Reference (concept alignment):
* DA0-001 Exam Objectives - Domain: Data Quality (profiling data and interpreting pass/fail metrics).
* CompTIA Data+ Official Study Guide - sections on data profiling metrics and the distinction between row-level and column-level quality checks.
NEW QUESTION # 348
Given the following data:
Which of the following BEST describes the data set?
Answer: A
NEW QUESTION # 349
Which of the following data types should an analyst use to provide the most flexibility when recording emails on a form?
Answer: B
Explanation:
Comprehensive and Detailed In-Depth
When designing a form to record email addresses, selecting the appropriate data type is crucial to ensure data integrity and flexibility.
Alphanumeric: This data type allows for both letters and numbers. While email addresses do contain alphanumeric characters, they also include special symbols such as '@' and '.', which an alphanumeric data type might not support, leading to potential data entry issues.
Text: This data type is designed to handle a sequence of characters, including letters, numbers, and special symbols. It provides the most flexibility for email addresses, accommodating the full range of characters required.
Discrete: This refers to distinct, separate values, often numerical, and is not suitable for the variable nature of email addresses.
Continuous: This pertains to data that can take any value within a range, typically used for measurements, and is not applicable to email addresses.
Therefore, the 'Text' data type is the most appropriate choice for recording email addresses, as it accommodates all necessary characters without restrictions.
Reference:
CompTIA Partners
NEW QUESTION # 350
A data analyst for a media company needs to determine the most popular movie genre. Given the table below:
Which of the following must be done to the Genre column before this task can be completed?
Answer: C
Explanation:
The action that must be done to the Genre column before this task can be completed is delimit. Delimit is a process of separating or splitting a string of text into multiple parts based on a delimiter, which is a character or a sequence of characters that marks the boundary between the parts. For example, a comma (,) or a semicolon (;) can be used as a delimiter. In this case, the Genre column contains multiple genres for each movie, separated by commas. To determine the most popular movie genre, the data analyst needs to delimit the Genre column by commas, so that each genre can be counted and compared separately. The other options are not relevant for this task, as they are related to combining or joining strings or tables, not separating them.
Append is a process of adding or attaching one string or table to the end of another string or table. Merge is a process of combining or joining two or more tables into one table based on a common column or key.
Concatenate is a process of joining or linking two or more strings together into one string. Reference: [How to Split Text in Excel - Exceljet]
NEW QUESTION # 351
Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?
Answer: C
Explanation:
Data encryption can be used to translate data into another form so it can only be read by a user who has a key or a password. Data encryption is a process of transforming data using an algorithm or a cipher to make it unreadable to anyone except those who have the key or the password to decrypt it. Data encryption is a common method of protecting data from unauthorized access, modification, or theft. Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert
NEW QUESTION # 352
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