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| Topic | Details |
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| Topic 1 | - Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
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| Topic 2 | - Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.
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| Topic 3 | - Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.
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| Topic 4 | - 5.0 Data Governance, Quality, and Controls
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| Topic 5 | - This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
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CompTIA Data+ Exam Sample Questions (Q103-Q108):
NEW QUESTION # 103
An analyst uses a server's storage to keep a large amount of files, images, and videos. Which of the following describes this type of storage?
- A. OLAP
- B. GUID
- C. BLOB
- D. UUID
Answer: C
Explanation:
BLOB (Binary Large Object) storage is designed to store large amounts of unstructured data such as files, images, videos, documents, and multimedia content. It is commonly used when data does not fit neatly into traditional relational database tables.
NEW QUESTION # 104
Which of the following is the best language to use in a notebook?
- A. Python
- B. SAS
- C. Haskell
- D. JavaScript
Answer: A
Explanation:
Python is widely used in notebooks due to its simplicity, extensive data analysis libraries, and strong support in environments like Jupyter, making it ideal for data exploration and analysis.
NEW QUESTION # 105
A data company needs a visualization that shows the availability zones from the last ten years and any future availability zones that the company will be using in the next five years. Which of thefollowing is the most appropriate visualization to display this information?
- A. Bar chart
- B. Map
- C. Pie chart
- D. Mosaic plot
Answer: B
Explanation:
This question falls under theVisualization and Reportingdomain of CompTIA Data+ DA0-002, focusing on selecting the appropriate visualization for a specific dataset. The task is to show availability zones over a 15- year period (past and future), which involves a geographical element since availability zones are typically location-based.
* Bar chart (Option A): Bar charts are good for comparing categorical data but don't effectively show geographical locations or time-based trends across zones.
* Mosaic plot (Option B): Mosaic plots display relationships between categorical variables, not suitable for geographical or time-series data.
* Map (Option C): A map can display availability zones geographically, with annotations or layers to show changes over time (past 10 years and future 5 years), making it the most appropriate visualization.
* Pie chart (Option D): Pie charts show proportions of a whole, not suitable for geographical or time- based data.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a map is the best choice for displaying geographical availability zones over time.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 106
Given the following table:

Which of the following data types should an analyst use for the numeric values in the Value column?
- A. Double
- B. Boolean
- C. Float
- D. Integer
Answer: C
Explanation:
A double is the most appropriate data type because the Value column contains very large numbers in scientific notation as well as decimal values that require high precision. A double- precision floating-point type can accurately store both large and fractional numeric values.
NEW QUESTION # 107
Which of the following best describes the method used to combine files, software, and libraries for use on various operating systems and environments?
- A. Virtual machine
- B. Code repository
- C. Package manager
- D. Containerization
Answer: D
Explanation:
Containerization bundles applications with their dependencies, including files, libraries, and runtime components, enabling consistent execution across different operating systems and environments.
NEW QUESTION # 108
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