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質問 # 155
A data analyst receives a new data source that contains employee IDs, job titles, dates of birth, addresses, years of service, and employees' birth months. Which of the following inconsistencies should the analyst identify?
正解:C
解説:
This question falls under theData Governancedomain, focusing on identifying data quality issues. The dataset includes dates of birth and birth months, which suggests a potential inconsistency.
* Redundancy (Option A): The dataset includes both dates of birth (e.g., 1990-05-15) and birth months (e.g., May), which is redundant because the birth month can be derived from the date of birth, indicating a data quality issue.
* Equivalence (Option B): Equivalence isn't a standard data quality term in this context; it might refer to data matching, which isn't the issue here.
* Parallel (Option C): Parallel isn't a recognized data quality term; it might relate to processing, not data inconsistencies.
* Duplication (Option D): Duplication refers to identical records, but the issue here is redundant fields, not duplicate rows.
The DA0-002 Data Governance domain includes "data quality control concepts," and redundancy is a key inconsistency when the same information is stored in multiple forms unnecessarily.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
質問 # 156
A data analyst creates a report, and some of the fields are empty. Which of the following conditions should the analyst add to a query to provide a list of all the records with empty fields?
正解:B
解説:
This question falls under theData Analysisdomain, focusing on SQL queries to identify data issues. The task is to find records with empty fields, which in SQL means NULL values.
* WHERE [ColumnName] = NULL (Option A): In SQL, NULL cannot be compared using "="; this syntax is incorrect.
* WHERE [ColumnName] IS NULL (Option B): This is the correct SQL syntax to identify NULL values, which represent empty fields.
* WHERE [ColumnName] IS NOT NULL (Option C): This finds non-empty fields, the opposite of the requirement.
* WHERE [ColumnName] = 'NULL' (Option D): This checks for the string "NULL," not a true NULL value, which is incorrect.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," such as identifying NULL values with IS NULL.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
質問 # 157
Which of the following data repositories stores unformatted data in its original, raw form?
正解:C
解説:
A data lake stores data in its raw, unstructured or semi-structured form without requiring predefined schemas, allowing flexible processing and analysis later.
質問 # 158
A manager wants a report that contains the days off for each direct report. The manager needs this report to always be up-to-date with the latest data. Which of the following describes the refresh frequency that the manager is requesting?
正解:B
解説:
This question pertains to the Visualization and Reporting domain, focusing on report refresh frequencies.
The manager needs the report to always be up-to-date, implying continuous data updates.
* Real-time (Option A): Real-time refresh frequency ensures the report reflects the latest data as soon as it changes, which matches the requirement to "always be up-to-date."
* Ad hoc (Option B): Ad hoc reports are generated on-demand, not continuously updated.
* Snapshot (Option C): A snapshot captures data at a specific point in time, not suitable for always being up-to-date.
* Dynamic (Option D): Dynamic reports allow interactivity, but the term doesn't specifically imply real- time updates.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and real-time refresh frequency ensures the report is always current.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
質問 # 159
Given the following tables:
Which of the following is the best option to display output from FirstName and LastName as FullName?
正解:A
解説:
Concatenation combines multiple text fields into a single field, allowing FirstName and LastName to be merged into FullName.
質問 # 160
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