DY0-001 EXAM STUDY GUIDE, DY0-001 LATEST EXAM BOOK

DY0-001 Exam Study Guide, DY0-001 Latest Exam Book

DY0-001 Exam Study Guide, DY0-001 Latest Exam Book

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CompTIA DataX Certification Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
A data analyst wants to use compression on an analyzed data set and send it to a new destination for further processing. Which of the following issues will most likely occur?

  • A. Server CPU usage will be too high.
  • B. Library dependency will be missing.
  • C. Server memory usage will be too high.
  • D. Operating system support will be missing.

Answer: A

Explanation:
# Compression is a CPU-intensive process because it requires encoding data into a smaller format, often involving complex algorithms. While memory use is usually moderate, CPU usage can spike significantly, especially during real-time compression or large dataset processing.
Why the other options are incorrect:
* A: Library issues are possible but not the most likely issue in compression.
* C: Most operating systems support common compression formats (e.g., .zip, .gz).
* D: Memory usage is generally lower than CPU usage during compression.
Official References:
* CompTIA DataX (DY0-001) Official Study Guide - Section 5.4:"Compression is compute-intensive and may result in increased CPU utilization, particularly on shared servers or during large batch processes."
* Cloud Data Engineering Guide, Chapter 9:"High CPU usage is a common bottleneck in data compression and decompression processes, especially at scale."
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NEW QUESTION # 13
An analyst wants to show how the component pieces of a company's business units contribute to the company's overall revenue. Which of the following should the analyst use to best demonstrate this breakdown?

  • A. Sankey diagram
  • B. Scatter plot matrix
  • C. Residual chart
  • D. Box-and-whisker chart

Answer: A

Explanation:
# A Sankey diagram is ideal for illustrating flow-based relationships, such as how different units or sources contribute to a total. It's especially effective for showing proportions, hierarchy, and decomposition - such as revenue contribution by business units.
Why the other options are incorrect:
* A: Box plots show distributions and spread - not contributions or breakdowns.
* C: Scatter plot matrix explores relationships between numeric variables, not part-to-whole relationships.
* D: Residual charts are diagnostic tools for regression - not for revenue visualization.
Official References:
* CompTIA DataX (DY0-001) Official Study Guide - Section 5.5:"Sankey diagrams are useful for visualizing contributions, flows, and proportional allocations across categories."
* Data Visualization Best Practices, Chapter 7:"Sankey charts are preferred when tracking contributions from multiple inputs to a unified output."


NEW QUESTION # 14
A data scientist is presenting the recommendations from a monthslong modeling and experiment process to the company's Chief Executive Officer. Which of the following is the best set of artifacts to include in the presentation?

  • A. Methodology, code snippets, findings, data tables, and p-values
  • B. Results, recommendations, justifications, and clear charts
  • C. Recommendation, charts, justifications, code reviews, and results
  • D. Methods, data overview, results, recommendations, and charts

Answer: B

Explanation:
# For executive-level presentations, the focus should be on strategic outcomes. Therefore, concise results, clear actionable recommendations, visual summaries (charts), and minimal justifications are best. Technical details such as p-values, code, or full methods are too granular.
Why the other options are incorrect:
* A: Too method-heavy for executive audiences.
* C: Includes code reviews - not suitable for a CEO.
* D: Overly technical for high-level stakeholders.
Official References:
* CompTIA DataX (DY0-001) Study Guide - Section 5.5:"Executive communication should focus on outcome-driven recommendations, high-level insights, and actionable visuals."
* Harvard Business Review - Communicating Data to Executives:"Avoid technical detail. Use visuals and clearly stated recommendations supported by business-focused justifications."


NEW QUESTION # 15
Which of the following JOINS would generate the largest amount of data?

  • A. LEFT JOIN
  • B. CROSS JOIN
  • C. INNER JOIN
  • D. RIGHT JOIN

Answer: B

Explanation:
# A CROSS JOIN returns the Cartesian product of the two tables - meaning every row from the first table is paired with every row from the second table. If Table A has m rows and Table B has n rows, a CROSS JOIN will return m × n rows, making it the largest possible result set of all JOIN types.
Why the other options are incorrect:
* A & B: RIGHT JOIN and LEFT JOIN return matched records plus unmatched rows from one side - but not all possible combinations.
* D: INNER JOIN returns only matched rows between tables, typically producing fewer records than a CROSS JOIN.
Official References:
* CompTIA DataX (DY0-001) Official Study Guide - Section 5.2:"CROSS JOINs generate the Cartesian product of two datasets and should be used carefully due to the exponential growth in the number of records."
* SQL for Data Scientists, Chapter 3:"CROSS JOINs can produce very large datasets, often unintentionally, due to their non-restrictive matching logic."
-


NEW QUESTION # 16
A data analyst wants to save a newly analyzed data set to a local storage option. The data set must meet the following requirements:
* Be minimal in size
* Have the ability to be ingested quickly
* Have the associated schema, including data types, stored with it
Which of the following file types is the best to use?

  • A. Parquet
  • B. XML
  • C. JSON
  • D. CSV

Answer: A

Explanation:
Given the requirements:
* Minimized file size
* Fast ingestion
* Schema preservation (including data types)
The most appropriate format is:
# Parquet - It is a columnar storage file format developed for efficient data processing. Parquet files are compressed, support schema embedding, and enable fast columnar reads, making them ideal for analytical workloads and big data environments.
Why the other options are incorrect:
* A. JSON: Text-heavy and lacks native support for data types/schema.
* C. XML: Verbose and has poor performance in storage and ingestion speed.
* D. CSV: Flat structure, doesn't store data types or schema, and can be large in size.
Official References:
* CompTIA DataX (DY0-001) Official Study Guide - Section 6.2 (Data Storage Formats):"Parquet is a preferred format for data analysis as it provides efficient compression and encoding with embedded schema information, making it ideal for minimal storage and fast ingestion."
* Apache Parquet Documentation:"Parquet is designed for efficient data storage and retrieval. It includes schema support and works best for analytics use cases." Parquet is a columnar storage format that automatically includes schema (data types), uses efficient compression to minimize file size, and enables very fast reads for analytic workloads.


NEW QUESTION # 17
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