DA0-002 Prüfungsaufgaben, DA0-002 Exam

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CompTIA DA0-002 Prüfungsplan:

Thema	Einzelheiten
Thema 1	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 2	5.0 Data Governance, Quality, and Controls
Thema 3	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.
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.

>> DA0-002 Prüfungsaufgaben <<

DA0-002 Exam - DA0-002 Fragenpool

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CompTIA Data+ Exam DA0-002 Prüfungsfragen mit Lösungen (Q143-Q148):

143. Frage
Software end users are happy with the quality of product support provided. However, they frequently raise concerns about the long wait time for resolutions. An IT manager wants to improve the current support process. Which of the following should the manager use for this review?

A. Infographic
B. UAT
C. KPI
D. Survey

Antwort: D

144. Frage
A data analyst needs to combine the results of two separate queries that have similar data and the same number of columns. The output must also have distinct rows. Which of the following should the data analyst use?

A. Aggregate
B. Concatenate
C. Outer join
D. Union

Antwort: D

Begründung:
A union combines the results of two separate queries into a single result set when the queries return the same number of columns with compatible data types. By default, UNION returns only distinct rows, removing duplicates from the combined output.

145. Frage
A data analyst is creating a report about cars sold within the last twelve months. The current data set only contains information from the last ten months. Which of the following is the most appropriate way to accomplish this task?

A. Join the records from the last two months of the previous year and append them to the data table.
B. Merge the records from the last two months of the previous year and append them to the data table.
C. Parse the records from the last two months of the previous year and append them to the data table.
D. Extract the records from the last two months of the previous year and append them to the data table.

Antwort: D

146. Frage
An analyst needs to make a collection of sales dashboards for C-suite members, managers, and salespeople. Which of the following should the analyst consider when designing these dashboards?

A. Branding
B. Sensitive information
C. Accessibility
D. User persona type

Antwort: D

Begründung:
User persona type is the most important consideration because C-suite executives, managers, and salespeople have different goals, responsibilities, and information needs. Designing dashboards based on each audience ensures that the displayed metrics, level of detail, and visualizations are relevant and useful to the intended users.

147. Frage
Which of the following is the most efficient to use when programming repeatable tasks?

A. RPA
B. NLP
C. Deep learning
D. LLM

Antwort: A

Begründung:
This question pertains to theData Acquisition and Preparationdomain, focusing on tools for automating repeatable tasks in data processes. The task is to identify the most efficient programming method.
* LLM (Option A): Large Language Models (e.g., GPT) are for text generation, not efficient for repeatable data tasks.
* Deep learning (Option B): Deep learning is for complex pattern recognition (e.g., image classification), not efficient for simple repeatable tasks.
* NLP (Option C): Natural Language Processing is for text analysis, not general repeatable tasks.
* RPA (Option D): Robotic Process Automation (RPA) automates repetitive, rule-based tasks (e.g., data entry, file processing), making it the most efficient for programming repeatable tasks.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and RPA is a widely used method for automating repeatable data tasks.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

148. Frage
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