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NEW QUESTION # 195
A data analyst is working on an initial analysis of the dataset in the following table:
DateTime
Count
2024-01-01
12
2024-01-02
245
2024-01-02
13
2024-01-03
13
2024-01-03
12
00:00:00
12
Which of the following issues should the analyst flag in the data report?
Answer: A
Explanation:
This question falls under theData Analysisdomain, focusing on identifying data quality issues.The table shows counts over time, and the analyst needs to flag an issue in the data.
* Completeness (Option A): Completeness refers to missing data, but all rows have values for DateTime and Count.
* Outlier (Option B): The count of 245 on 2024-01-02 is significantly higher than other counts (12-13), indicating an outlier that should be investigated for accuracy.
* Mismatch (Option C): Mismatch implies inconsistent data types or formats, but the DateTime and Count columns appear consistent except for the last row (addressed separately).
* Duplication (Option D): Duplication refers to identical rows, but no rows are identical (same DateTime and Count).
The last row ("00:00:00", 12) has a formatting issue, but the most significant issue for analysis is the outlier (245), as it could skew results. The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as identifying outliers in datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 196
A data analyst is building a new report on sales data. The analyst wants to find the total sales per channel, but only for those channels which have a total sales higher than 20.0. Given the following:
Which of the following should the analyst use?
Answer: B
Explanation:
To find the total sales per channel, the query must aggregate sales values using SUM(VALUE) and group the results by channel. Because the requirement is to return only channels whose total sales exceed 20.0, the aggregate result must be filtered with a HAVING clause. HAVING SUM(VALUE) > 20.0 correctly filters the grouped totals after aggregation.
NEW QUESTION # 197
Which of the following is the most efficient to use when programming repeatable tasks?
Answer: C
Explanation:
Robotic process automation is designed to automate repetitive, rule-based tasks, making it the most efficient choice for repeatable processes.
NEW QUESTION # 198
A data analyst receives an email from the IT department about renewing the company password, and the analyst follows the password reset link as required. Later in the week, the analyst receives the following notification when running a recurring analysis that connects to the database:
Log-in failed for user '<username>'
Which of the following is most likely the reason for this issue?
Answer: D
Explanation:
The recurring analysis likely uses stored database credentials. After the analyst changed the company password, the password saved in the report, scheduled job, or database connection was no longer valid. As a result, the automated process failed authentication and returned the log-in error.
NEW QUESTION # 199
Which of the following data repositories should a company use when structured data about the whole company needs to be stored in a predefined data structure?
Answer: C
Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on selecting the appropriate repository for structured data across an entire company. The requirement for a predefined structure narrows the options.
* Data mart (Option A): A data mart stores structured data for a specific business area (e.g., sales), not the whole company.
* Data warehouse (Option B): A data warehouse is designed to store structured data from across the entire company in a predefined schema, optimized for analytics and reporting.
* Data silo (Option C): A data silo is an isolated repository, often structured, but not designed for company-wide integration.
* Data lake (Option D): A data lake stores raw data (structured and unstructured) without a predefined structure, not suitable for this requirement.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data warehouse is ideal for company-wide structured data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 200
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