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NEW QUESTION # 116
A data analyst must combine service calls into low-, medium-, and high-priority levels in order to analyze organizational responses. Which of the following techniques should the analyst use for this task?
Answer: C
Explanation:
This question pertains to theData Analysisdomain, focusing on techniques for categorizing data. The task involves grouping service calls into priority levels (low, medium, high), which requires segmenting numerical or ordinal data into discrete categories.
* Augmentation (Option A): Augmentation involves adding data (e.g., in machine learning), not categorizing existing data.
* Imputation (Option B): Imputation fills in missing values, not relevant for categorizing priority levels.
* Scaling (Option C): Scaling adjusts numerical data to a common range (e.g., normalization), not suitable for creating priority categories.
* Binning (Option D): Binning groups continuous or ordinal data into discrete categories (e.g., assigning calls to low, medium, or high priority based on a metric like response time), which fits the task.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and binning is a standard technique for categorizing data for analysis.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 117
A data analyst is evaluating all conditions in a query. Which of the following is the best logical function to accomplish this task?
Answer: C
Explanation:
This question falls under theData Analysisdomain, focusing on SQL logical functions for query evaluation.
The task is to evaluate "all conditions," implying multiple conditions must be true together.
* OR (Option A): OR returns true if any condition is true, not ensuring all conditions are met.
* NOT (Option B): NOT negates a condition, not suitable for combining multiple conditions.
* AND (Option C): AND requires all conditions to be true, which aligns with evaluating "allconditions" in a query.
* IF (Option D): IF is a conditional function for decision-making, not for evaluating multiple conditions together.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and AND is the best logical function for ensuring all conditions are met.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 118
Which of the following is business intelligence software?
Answer: A
NEW QUESTION # 119
A sales manager wants to understand how sales are trending year over year. Which of the following chart types is the most appropriate to display the information?
Answer: A
NEW QUESTION # 120
Due to new reporting requirements, a data analyst must add new classification codes to historical data. Which of the following is the best technique for this task?
Answer: C
Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on modifying historical data. The task is to add new classification codes to existing data, which involves adding new rows or columns.
* Append (Option A): Appending adds new rows to a dataset, which is suitable if the classification codes are new records (e.g., a new table of codes to combine with historical data). If the codes are a new column, a join or update might be used, but append fits the context of adding new data.
* Binning (Option B): Binning groups data into categories, not suitable for adding classification codes.
* Parsing (Option C): Parsing breaks down data (e.g., splitting strings), not relevant for adding codes.
* Union (Option D): Union stacks tables with identical structures, but the task involves adding new data (codes) to historical data, not combining identical tables.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and appending is a common technique for adding new data to historical datasets.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.
NEW QUESTION # 121
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