DA0-002試験の準備方法｜正確的なDA0-002勉強の資料試験｜ユニークなCompTIA Data+ Exam出題範囲

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CompTIA DA0-002 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
トピック 2
  • This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
トピック 3
  • Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.

>> DA0-002勉強の資料 <<

DA0-002試験の準備方法｜信頼的なDA0-002勉強の資料試験｜有効的なCompTIA Data+ Exam出題範囲

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CompTIA Data+ Exam 認定 DA0-002 試験問題 (Q104-Q109):

質問 # 104
A report triggers an error that prevents information from being displayed. However, the report was functional before a database upgrade. Which of the following should a data analyst do first to troubleshoot the problem?

正解：D


質問 # 105
A company's entire server environment is located at the company's headquarters. Which of the following describes this type of environment?

正解：D

解説：
An on-premises environment means that the organization's servers, hardware, and supporting infrastructure are physically located and managed at the company's own facilities. Since the entire server environment is housed at the company's headquarters, it is an on-premises deployment.


質問 # 106
The human resources department wants to know the number of employees who earn $125,000 or more. However, the department is concerned about duplicates in the data set. Given the following table:

Which of the following SQL statements resolves this issue?

正解：A

解説：
Counting distinct employee IDs removes duplicates while still restricting the result to employees whose salary is at least $125,000, which returns the number of unique employees meeting the requirement.


質問 # 107
Which of the following tables holds relational keys and numeric values?

正解：C

解説：
This question falls under theData Concepts and Environmentsdomain, focusing on understanding table types in data warehousing. The task is to identify a table that holds relational keys and numeric values, typically used in a star schema.
* Fact (Option A): Fact tables in a star schema store quantitative data (numeric values, e.g., sales amounts) and foreign keys (relational keys) linking to dimension tables, making this the correct choice.
* Graph (Option B): Graph tables are used in graph databases for relationships (e.g., nodes, edges), not typically for relational keys and numeric values in a traditional sense.
* Dimensional (Option C): Dimension tables store descriptive attributes (e.g., product names) and primary keys, not typically numeric measures.
* Transactional (Option D): Transactional tables are used in OLTP systems and may contain numeric values, but they're not specifically designed for relational keys in a data warehousing context.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and fact tables are designed to hold relational keys and numeric values in a data warehouse.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


質問 # 108
An administrator needs to design a table that will include foreign words. Which of the following is the best option for storing non-native language characters?

正解：C

解説：
This question falls under theData Concepts and Environmentsdomain, focusing on selecting appropriate data types for storing specific kinds of data. The task requires storing foreign words, which often include non- native characters (e.g., accents, Unicode characters).
* VARCHAR (Option A): VARCHAR stores variable-length strings but typically uses ASCII or single- byte encoding, which may not support all foreign characters.
* NVARCHAR (Option B): NVARCHAR (National VARCHAR) stores variable-length strings in Unicode, supporting a wide range of non-native characters, making it the best choice.
* CLOB (Option C): CLOB (Character Large Object) is for large text data, but it's overkill for most foreign words and not specifically designed for Unicode.
* CHAR (Option D): CHAR stores fixed-length strings, but like VARCHAR, it often uses single-byte encoding, which may not support foreign characters.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as selecting data types like NVARCHAR for Unicode support.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


質問 # 109
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CompTIAさまざまな種類の候補者がDA0-002認定を取得する方法を見つけるために、多くの研究が行われています。 シラバスの変更および理論と実践の最新の進展に応じて、DA0-002テストトレントを修正および更新します。 DA0-002認定トレーニングは、厳密な分析による近年のテストと業界動向に基づいています。 したがって、お客様のCompTIA Data+ Examのために、より多くの選択肢が用意されています。試験のためにDA0-002試験問題を選択することをお勧めします。

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