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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Certification Exam |
| Exam Number: | DA0-002 |
| Exam Price: | $253 USD (may vary by region/tax) |
| Passing Score: | 675 (on a scale of 100โ900) |
| Exam Format: | Multiple-choice, Performance-based questions, Multiple-response |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | Up to 90 |
| Recommended Training: | CompTIA Data+ Study Resources CompTIA CertMaster Learn for Data+ |
| Exam Registration: | Pearson VUE CompTIA Exams Registration CompTIA Data+ Certification Page |
| Sample Questions: | CompTIA DA0-002 Sample Questions |
| Exam Way: | Delivered via Pearson VUE testing centers or online proctored exam |
| Pre Condition: | No mandatory prerequisites. Recommended: 18โ24 months of experience in a business/data analytics environment. |
| Official Syllabus URL: | https://www.comptia.org/certifications/data-plus |
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NEW QUESTION # 73
Which of the following data repositories stores unaltered data?
Answer: C
Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on data repositories. The task is to identify a repository that stores data in its original, unaltered form.
* Data lake (Option A): A data lake stores raw, unaltered data in its native format (structured, semi- structured, or unstructured), making it the correct choice.
* Data warehouse (Option B): A data warehouse stores processed, structured data, often transformed for analysis, not unaltered.
* Data table (Option C): A data table is a structure within a database, not a repository, and may contain altered data.
* Data factory (Option D): A data factory (e.g., Azure Data Factory) is a data integration service, not a repository for storing data.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data lake is designed to store unaltered data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 74
A data analyst needs to summarize the number of customers who contacted the business in the last year by contact type. The Contact_Type table is in a file and has one million rows. Based on the following sample:
Which of the following is the most efficient for the analyst to use?
Answer: A
Explanation:
A pivot table is the most efficient tool for summarizing and aggregating large datasets. With one million rows, the analyst can quickly group records by Contact_Type and calculate the count of customers for each contact method (Email, DM, Branch, Call) without creating complex formulas or queries. This provides the required summary directly and efficiently.
NEW QUESTION # 75
Before distributing a report, a marketing analyst notices that the total distinct promotional email messages is less than the combined total of emails sent. Which of the following is the most likely reason for this difference?
Answer: C
Explanation:
This question falls under theData Analysisdomain, focusing on analyzing discrepancies in data reports. The total distinct messages are fewer than the total emails sent, indicating a specific issue.
* The aggregation did not include all emails (Option A): If the aggregation missed emails, the total sent would be lower, not the distinct count.
* Some emails were not delivered (Option B): Undelivered emails would reduce the total sent, but the scenario implies the total sent is accurate.
* The report failed to run properly (Option C): A report failure would likely cause broader issues, not a specific discrepancy between distinct and total counts.
* A recipient received duplicate emails (Option D): If recipients received duplicates, the total emails sent would be higher than the distinct messages (unique email content), explaining the difference.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and identifying duplicates is a common analysis task to explain such discrepancies.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 76
Which of the following statistical measures is the most suitable and simple measure of the strengthsimple measure of the strength and direction of the linear relationship between price and volume?
Answer: A
Explanation:
Correlation measures both the strength and direction of a linear relationship between two variables, such as price and volume.
NEW QUESTION # 77
Which of the following is the most efficient to use when programming repeatable tasks?
Answer: C
Explanation:
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.
NEW QUESTION # 78
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