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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 20% | - Communicating insights to stakeholders - Validation and accuracy of reports - Design principles for effective visualizations - Dashboard and report development |
| Topic 2: Data Governance, Quality, and Management | 14% | - Data quality standards and monitoring - Data privacy, security, and compliance - Data governance frameworks and policies - Data lifecycle management and documentation |
| Topic 3: Data Analysis | 24% | - Data modeling and pattern recognition - Analytical tools and querying languages - Statistical methods and techniques - Exploratory and confirmatory data analysis |
| Topic 4: Data Concepts and Environments | 20% | - Foundational concepts of AI and machine learning in data - Data types, structures, and formats - Database systems and architectures - Cloud and distributed data environments |
| Topic 5: Data Acquisition and Preparation | 22% | - Data cleaning, validation, and quality improvement - Data collection methods and sources - Data extraction, transformation, and loading (ETL/ELT) - Data integration and normalization |
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NEW QUESTION # 148
A data analyst is working on an initial analysis of the dataset in the following table:
Which of the following issues should the analyst flag in the data report?
Answer: D
Explanation:
The value 245 is significantly higher than the other counts, indicating an outlier that should be flagged for further investigation.
NEW QUESTION # 149
Which of the following explains the purpose of UAT?
Answer: C
Explanation:
This question is related to theData Governancedomain of DA0-002, which includes understanding processes like User Acceptance Testing (UAT) to ensure data-related applications meet governance and quality standards. UAT is a critical step in ensuring software aligns with user needs and organizational requirements.
* To begin the software application development process to enhance user experience (Option A):
UAT occurs near the end of development, not at the beginning.
* To ensure all parts of the software application work together after each sprint (Option B): This describes integration testing, not UAT, which focuses on user validation.
* To review software application crashes, create patches, and deploy to users (Option C): This refers to post-deployment maintenance, not UAT.
* To validate and verify that a software application meets the needs and requirements of users (Option D): UAT is specifically designed to ensure the software meets user requirements and functions as intended in a real-world scenario, aligning with governance standards for quality.
The DA0-002 Data Governance domain emphasizes "data quality control concepts" (similar to DA0-001, web ID: 1), which include ensuring applications meet user needs through processes like UAT.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance
NEW QUESTION # 150
A product goes viral on social media, creating high demand. Distribution channels are facing supply chain issues because the testing and training models that are used for sales forecasting have not encountered similar demand. Which of the following best describes this situation?
Answer: B
Explanation:
Data drift occurs when real-world data patterns change from what the model was trained on, such as an unexpected surge in demand that the model has not previously encountered, leading to inaccurate predictions.
NEW QUESTION # 151
Which of the following best represents a type of infrastructure that requires a company to purchase and maintain all of its own servers?
Answer: B
Explanation:
A private infrastructure requires the organization to own, manage, and maintain its own servers and hardware, unlike cloud or hybrid models where resources are shared or hosted externally.
NEW QUESTION # 152
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: C
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 # 153
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