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| Section | Weight | Objectives |
|---|---|---|
| Data Analysis | 24% | - Data modeling and pattern recognition - Exploratory and confirmatory data analysis - Analytical tools and querying languages - Statistical methods and techniques |
| Data Acquisition and Preparation | 22% | - Data extraction, transformation, and loading (ETL/ELT) - Data collection methods and sources - Data integration and normalization - Data cleaning, validation, and quality improvement |
| Data Governance, Quality, and Management | 14% | - Data quality standards and monitoring - Data privacy, security, and compliance - Data lifecycle management and documentation - Data governance frameworks and policies |
| Visualization and Reporting | 20% | - Design principles for effective visualizations - Validation and accuracy of reports - Communicating insights to stakeholders - Dashboard and report development |
| Data Concepts and Environments | 20% | - Cloud and distributed data environments - Foundational concepts of AI and machine learning in data - Database systems and architectures - Data types, structures, and formats |
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NEW QUESTION # 112
Which of the following is the best reason for a company to use a CSV file to share data instead of an Excel file?
Answer: A
Explanation:
CSV files are not tied to a specific software vendor and can be opened, imported, and processed by a wide variety of applications and platforms. This makes CSV an ideal format for sharing data between different systems and organizations.
NEW QUESTION # 113
A data analyst is creating a new dataset that involves bringing together the following datasets:
Which of the following would be the output if the data analyst does a FULL JOIN?
Answer: B
Explanation:
A FULL JOIN returns all records from both tables. Matching records are combined based on the common ID field, while nonmatching records from either table are still included with null or blank values for the missing columns.
In the source data:
ID 23525 exists in both tables, so Frank is combined with the Chicago address.
ID 11290 exists in both tables, so Martha is combined with the Miami address.
ID 12141 exists only in the first table, so Ellen appears with blank address information.
ID 11040 exists only in the second table, so the address record appears with blank name and date-of-birth information.
NEW QUESTION # 114
The sales department wants to include the composition of total sales amounts across all three sales channels in a report. Given the following sample sales table:
Sales channel
Month
Sales (million $)
Digital
January
135
Store
February
145
Online
March
165
Store
April
200
Store
May
125
Online
June
155
Digital
July
120
Online
August
145
Digital
September
160
Which of the following visualizations is the most appropriate?
Answer: C
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on selecting the appropriate visualization for a specific requirement. The task is to show the composition of total sales across three channels, which involves showing proportions.
* Pivot table (Option A): A pivot table summarizes data but isn't a visualization; it's more for data exploration.
* Pie chart (Option B): A pie chart shows the proportion of total sales for each channel (Digital, Store, Online), which is ideal for displaying composition.
* KPI card (Option C): A KPI card displays a single metric, not suitable for showing composition across multiple channels.
* Box plot (Option D): A box plot shows data distribution (e.g., quartiles), not proportions.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a pie chart is best for showing the composition of totals.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 115
The human resources department wants to understand the relationship between the ages and incomes of all employees. Which of the following graphics is the most appropriate to present the analysis?
Answer: B
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on selecting the appropriate visualization to show a relationship between two continuous variables (ages and incomes).
* Scatter plot (Option A): A scatter plot displays individual data points on two axes (age vs. income), making it ideal for showing the relationship and potential correlation between two continuous variables.
* Area plot (Option B): Area plots are used for showing trends over time, not relationships between two variables.
* Bar chart (Option C): Bar charts are better for categorical data comparisons, not continuous variable relationships.
* Pie chart (Option D): Pie charts show proportions of a whole, not suitable for showing relationships between variables.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a scatter plot is best for showing the relationship between age and income.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 116
Which of the following data sources makes online data consumption easier?
Answer: B
Explanation:
An application programming interface provides structured and standardized access to data, making it easier to retrieve and consume data from online services programmatically.
NEW QUESTION # 117
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