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CompTIA DA0-002 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 2
  • 5.0 Data Governance, Quality, and Controls
Thema 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.
Thema 4
  • 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.
Thema 5
  • Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.

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CompTIA Data+ Exam DA0-002 Prüfungsfragen mit Lösungen (Q148-Q153):

148. Frage
While interacting with a data set. a data analyst learns that copies of the data are distributed across several data repositories around the globe. Which of the following concepts best describes this practice?

Antwort: B

Begründung:
Replication involves distributing copies of data across multiple locations or systems to ensure accessibility and consistency across environments.


149. Frage
A data analyst is working on a three-year project to deliver sales reports on a monthly basis. The client wants a thorough analysis into customer profiles for a specific region and month. Which of the following delivery methods best fulfills this request?

Antwort: A

Begründung:
An ad hoc delivery method is used when a stakeholder requests a detailed, specific analysis that is not part of the standard recurring reports. The request for a thorough analysis of customer profiles for a particular region and month is a targeted, one-time inquiry that is best fulfilled through an ad hoc report.


150. Frage
Which of the following best describes the semi-structured data that is gathered when web scraping?

Antwort: A


151. Frage
Which of the following best explains the purpose of data lineage?

Antwort: D

Begründung:
This question pertains to theData Concepts and Environmentsdomain, focusing on the purpose of data lineage. Data lineage involves tracking the lifecycle of data.
* To see the steps and path of data flow through different systems (Option A): This describes a data flow diagram, not data lineage, which focuses on transformations rather than just flow.
* To better understand the granularity of data variable relationships (Option B): This relates to data modeling, not the purpose of data lineage.
* To track data transformations from acquisition through reporting (Option C): Data lineage tracks the journey of data, including transformations (e.g., cleaning, aggregation) from its source to its final use in reporting, which is its primary purpose.
* To look up data definitions, ensuring consistent use across business units (Option D): This describes a data dictionary, not data lineage.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and data lineage specifically tracks transformations across the data lifecycle.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


152. Frage
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?

Antwort: D

Begründung:
The value 245 is significantly higher than the other counts, indicating an outlier that should be flagged for further investigation.


153. Frage
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