DA0-002試験資料 & DA0-002受験料弊社が提供した部分のDA0-002資料を試用してから、決断を下ろしてください。もし弊社を選ばれば、DA0-002１００％の合格率を保証でございます。 CompTIA Data+ Exam (2025) 認定 DA0-002 試験問題 (Q30-Q35):質問 # 30
A data analyst is analyzing the following dataset:
Transaction Date
Quantity
Item
Item Price
12/12/12
11
USB Cords
9.99
11/11/11
3
Charging Block
8.89
10/10/10
5
Headphones
50.15
Which of the following methods should the analyst use to determine the total cost for each transaction?
A. Scaling
B. Parsing
C. Deriving
D. Compressing
正解：C
解説：
This question falls under theData Analysisdomain, focusing on calculating new values from existing data.
The task is to determine the total cost per transaction, which involves multiplying Quantity by Item Price.
* Parsing (Option A): Parsing involves breaking down data (e.g., splitting a string), not calculating totals.
* Scaling (Option B): Scaling adjusts numerical values to a common range (e.g., normalization), not relevant for calculating totals.
* Compressing (Option C): Compressing reduces data size, not applicable to calculating costs.
* Deriving (Option D): Deriving involves creating new data fields by performing calculations on existing ones (e.g., Total Cost = Quantity × Item Price), which fits the task.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as deriving new fields through calculations to analyze data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
質問 # 31
Which of the following is found in metadata?
A. Data lineage
B. Syntax
C. Transformations
D. Variable types
正解：D
解説：
This question pertains to theData Concepts and Environmentsdomain, focusing on the content of metadata.
Metadata describes data attributes, and the task is to identify what it typically includes.
* Transformations (Option A): Transformations (e.g., data cleaning steps) are part of data lineage, not metadata.
* Data lineage (Option B): Data lineage tracks data flow and transformations, which is related to metadata but not a direct component.
* Syntax (Option C): Syntax refers to code structure, not a metadata component.
* Variable types (Option D): Metadata includes information about data fields, such as variable types (e.
g., integer, string), which is a standard component.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and metadata typically contains details like variable types to describe the dataset.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
質問 # 32
Which of the following allows a data analyst to send out a spreadsheet containing sensitive information without revealing personal details?
A. Using a UUID in the data file
B. Adding access controls to the ID column
C. Encrypting the spreadsheet
D. Redacting all PII
正解：D
解説：
This question pertains to theData Governancedomain, focusing on data privacy and security. The task is to share a spreadsheet with sensitive information while protecting personal details.
* Using a UUID in the data file (Option A): A UUID (Universally Unique Identifier) can anonymize records, but if other PII (e.g., names) remains, personal details are still exposed.
* Redacting all PII (Option B): Redacting personally identifiable information (PII) removes sensitive details (e.g., names, addresses), ensuring personal information isn't revealed while sharing the spreadsheet.
* Adding access controls to the ID column (Option C): Access controls limit who can view the data, but the question focuses on the spreadsheet content itself, not access.
* Encrypting the spreadsheet (Option D): Encryption protects the file during transmission, but once opened, personal details are still visible unless redacted.
The DA0-002 Data Governance domain includes "data privacy concepts," and redacting PII is the most direct method to protect personal details in a shared spreadsheet.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
質問 # 33
Which of the following best enables the retrieval and manipulation of data that is stored in a relational database?
A. SQL
B. Excel
C. JavaScript
D. XML
正解：A
解説：
This question pertains to theData Concepts and Environmentsdomain, focusing on tools for interacting with relational databases. The task is to identify the best method for retrieving and manipulating data.
* XML (Option A): XML is a data format, not a language for retrieving or manipulating database data.
* SQL (Option B): SQL (Structured Query Language) is specifically designed for querying and manipulating data in relational databases (e.g., SELECT, UPDATE), making it the best choice.
* Excel (Option C): Excel can analyze data but isn't designed for direct database manipulation.
* JavaScript (Option D): JavaScript is a programming language for web development, not optimized for relational database operations.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases," and SQL is the standard language for relational database operations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
質問 # 34
Given the following dataset:
Day
Number of Guests
Monday
455
Tuesday
346
Wednesday
382
Thursday
563
Friday
887
Saturday
934
Sunday
346
Which of the following is the mode?
A. 0
B. 1
C. 2
D. 3
正解：D
解説：
This question falls under theData Analysisdomain, focusing on statistical measures. The mode is the value that appears most frequently in a dataset.
* Monday: 455
* Tuesday: 346
* Wednesday: 382
* Thursday: 563
* Friday: 887
* Saturday: 934
* Sunday: 346
The value 346 appears twice (Tuesday and Sunday), while all other values (455, 382, 563, 887, 934) appear once. Thus, the mode is 346.
* Option A: 346- Correct, as it's the most frequent value.
* Option B: 446- Incorrect, as 446 doesn't appear in the dataset.
* Option C: 455- Incorrect, as 455 appears only once.
* Option D: 559- Incorrect, as 559 doesn't appear in the dataset.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and the mode is a fundamental measure of central tendency.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.