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NEW QUESTION # 75
Which of the following supports capabilities such as automatic versioning, corruption checks, KPIs, and user authentication?
Answer: D
Explanation:
This question falls under theData Governancedomain, focusing on tools that support data management and quality control features. The task is to identify a tool with capabilities like versioning, corruption checks, KPIs, and authentication.
* Notebook (Option A): Notebooks (e.g., Jupyter) are for data analysis and coding but don't inherently support versioning, corruption checks, or authentication.
* REST API (Option B): REST APIs enable data access but don't provide versioning or corruption checks as a primary function.
* Pipeline (Option C): Data pipelines automate data workflows but don't typically include versioning or authentication.
* Source control (Option D): Source control systems (e.g., Git) support automatic versioning (tracking changes), corruption checks (integrity verification), KPIs (e.g., commit frequency), and user authentication (access control), making this the best fit.
The DA0-002 Data Governance domain includes "data quality control concepts," and source control systems provide the listed capabilities to ensure data integrity and security.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 76
Which of the following best describes the method used to combine files, software, and libraries for use on various operating systems and environments?
Answer: B
Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on methods for managing software and data environments. The task is to identify a method that combines files, software, and libraries for use across different systems.
* Package manager (Option A): Package managers (e.g., npm) manage software dependencies but don't combine files and libraries for cross-system use.
* Code repository (Option B): Code repositories (e.g., GitHub) store code but don't package it for deployment across environments.
* Virtual machine (Option C): Virtual machines emulate entire operating systems, which is heavier than needed for combining files and libraries.
* Containerization (Option D): Containerization (e.g., Docker) packages files, software, and libraries into a container that can run consistently across different operating systems and environments, making it the best choice.
The DA0-002 Data Concepts and Environments domain includes understanding "data environments," and containerization is a standard method for ensuring consistency across systems.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 77
A recent server migration applied an update to dataset naming conventions. Multiple users are now reporting stale information in an existing dashboard. The date in the dataset confirms a successful data refresh. Which of the following should a data analyst do first?
Answer: A
Explanation:
This question falls under theData Governancedomain, focusing on troubleshooting data freshness issues in dashboards. The dashboard shows stale data despite a successful refresh, and the server migration updated naming conventions, suggesting a potential mismatch.
* Confirm the dashboard is pointed to the newest dataset (Option A): The server migration updated dataset naming conventions, so the dashboard might still be pointing to an old dataset name, causing stale data. Confirming the dataset connection is the first step.
* Filter the data in the dashboard (Option B): Filtering might adjust the view but doesn't address the root cause of stale data.
* Escalate user permissions on the server (Option C): Permissions issues would likely prevent access, not cause stale data, especially since the dataset refreshed successfully.
* Verify that the dashboard subscription is not expired (Option D): An expired subscription might prevent access, but the dashboard is accessible, just showing stale data.
The DA0-002 Data Governance domain includes "data quality control concepts," such as ensuring dashboards connect to the correct, updated datasets after changes like server migrations.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 78
A project manager requests an unscheduled report that provides a list of clients. Which of the following frequencies is best for this report?
Answer: D
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report delivery frequencies.
The report is described as unscheduled, meaning it's a one-time request.
* Annual (Option A): Annual frequency implies a scheduled report every year, not suitable for an unscheduled request.
* Daily (Option B): Daily frequency implies a scheduled report each day, not suitable.
* Weekly (Option C): Weekly frequency implies a scheduled report each week, not suitable.
* Ad hoc (Option D): Ad hoc reports are generated on-demand for one-time or unscheduledneeds, which matches the project manager's request.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and ad hoc is the best frequency for an unscheduled report.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 79
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: B
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 # 80
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