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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization | 23% | - Tool-based visualization techniques - Chart and dashboard creation - Visualization best practices |
| Topic 2: Data Governance, Quality, and Controls | 14% | - Data governance frameworks - Security, privacy, and compliance considerations - Data quality management |
| Topic 3: Data Concepts and Environments | 15% | - Data concepts and terminology - Data structures and file formats - Data sources and acquisition methods |
| Topic 4: Data Analysis | 23% | - Data interpretation and reporting - Trend and correlation analysis - Statistical methods and calculations |
| Topic 5: Data Mining | 25% | - Data acquisition and cleaning techniques - Data transformation and profiling - Pattern identification and extraction |
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NEW QUESTION # 137
Which of the following is the first step an analyst should perform upon receiving a business request for analysis?
Answer: A
Explanation:
Explanation
answer: C. Review the business questions to understand the scope.
The first step an analyst should perform upon receiving a business request for analysis is to review the business questions to understand the scope of the problem, the objectives, and the expected outcomes. This will help the analyst to define the analytical approach, identify the data needs and sources, and plan the analysis process. Reviewing the business questions will also help the analyst to communicate with the stakeholders and clarify any assumptions or ambiguities1.
Option A is incorrect, as determining the data needs and sources for analysis is not the first step, but rather a subsequent step that depends on the business questions and the analytical approach.
Option B is incorrect, as initiating the analysis for exploratory data analysis is not the first step, but rather a part of the analysis process that involves examining and summarizing the data, identifying patterns and outliers, and testing hypotheses.
Option D is incorrect, as finalizing the methodology to solve the problem is not the first step, but rather a later step that involves selecting and applying the appropriate analytical techniques, tools, and models to answer the business questions.
NEW QUESTION # 138
Given the image below:
Which of the following file formats is depicted?
Answer: C
Explanation:
The image depicts a snippet of code in the JSON format, which stands for JavaScript Object Notation. JSON is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language and is commonly used to transmit data in web applications.
* CSV, or Comma-Separated Values, is a simple file format used to store tabular data, such as a spreadsheet or database. It uses commas to separate values.
* XML, or eXtensible Markup Language, is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable.
* HTML, or HyperText Markup Language, is the standard markup language for documents designed to be displayed in a web browser.
References:
JSON.org - Introducing JSON1
W3Schools - JSON Introduction2
Mozilla Developer Network - JSON3
NEW QUESTION # 139
Given the following graph:
Which of the following summary statements upholds integrity in data reporting?
Answer: A
Explanation:
Strategy 4 provides the best sales in comparison to other strategies. This is because the total sales for Strategy
4 are the highest among all the strategies, as shown by the black line. The other statements are not accurate or do not uphold integrity in data reporting. Here is why:
Statement A is false because sales are not approximately equal for Product A and Product B across all strategies. For example, in Strategy 1, Product A has more sales than Product B, while in Strategy 3, Product B has more sales than Product A.
Statement C is misleading because it does not account for the difference in scale between the products. While Strategy 2 has the highest total sales among all products, it does not necessarily mean that it is the most effective for each product. For instance, Product D has very low sales in Strategy 2 compared to other strategies.
Statement D is biased because it does not provide any evidence or justification for why Product D should be promoted more than the other products in all strategies. It also ignores the fact that Product D has the lowest sales among all products in most of the strategies.
NEW QUESTION # 140
Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?
Answer: D
Explanation:
Explanation
Data encryption can be used to translate data into another form so it can only be read by a user who has a key or a password. Data encryption is a process of transforming data using an algorithm or a cipher to make it unreadable to anyone except those who have the key or the password to decrypt it. Data encryption is a common method of protecting data from unauthorized access, modification, or theft. Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert
NEW QUESTION # 141
Which of the following is a best practice when updating a legacy data source?
Answer: D
Explanation:
When updating a legacy data source, it is a best practice to create a codebook to document field changes. A codebook serves as a detailed guide and record of the data structure, definitions, and any transformations or modifications made to the data fields. This documentation is crucial for maintaining data integrity, ensuring consistency, and facilitating future data use and understanding. It provides a reference that can be invaluable for data analysts, developers, and any stakeholders who need to work with the data.
Creating a codebook is preferred over placing old data in new fields, which can lead to confusion and data integrity issues. Keeping only the most recent data may result in the loss of valuable historical information. Removing the data source from production is not a practice related to updating data but rather to retiring a data source1234.
References:
* Legacy Data Migration: A Comprehensive Guide | OpenGeeksLab
* How to Successfully Complete Legacy Database Migration
* Methods for Saving and Integrating Legacy Data - DATAVERSITY
* Legacy Data Digitization - Learn The Best Practices
NEW QUESTION # 142
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