CompTIA DA0-002 Exam Dumps

This question falls under the Data Concepts and Environments domain, focusing on understanding table types in data warehousing. The task is to identify a table that holds relational keys and numeric values, typically used in a star schema.

Fact (Option A): Fact tables in a star schema store quantitative data (numeric values, e.g., sales amounts) and foreign keys (relational keys) linking to dimension tables, making this the correct choice.

Graph (Option B): Graph tables are used in graph databases for relationships (e.g., nodes, edges), not typically for relational keys and numeric values in a traditional sense.

Dimensional (Option C): Dimension tables store descriptive attributes (e.g., product names) and primary keys, not typically numeric measures.

Transactional (Option D): Transactional tables are used in OLTP systems and may contain numeric values, but they're not specifically designed for relational keys in a data warehousing context.

The DA0-002 Data Concepts and Environments domain includes understanding 'data schemas and dimensions,' and fact tables are designed to hold relational keys and numeric values in a data warehouse.

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This question falls under the Data Governance domain, 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.

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This question falls under the Data Governance domain, focusing on optimizing data quality and performance in dashboards. The dashboard is slow because it pulls from a large database (30 years) but only needs seven years of data.

Performing a code review (Option A): A code review might identify inefficiencies, but it's not the most direct solution for this scenario.

Checking network connectivity (Option B): Network issues might cause delays, but the primary issue is the data volume, not connectivity.

Filtering to include only relevant data (Option C): Filtering the data to include only the last seven years reduces the dataset size, directly improving performance by minimizing the data processed.

Adding more RAM and rerunning (Option D): Adding RAM might help, but it's a hardware solution that doesn't address the root cause of excessive data.

The DA0-002 Data Governance domain includes 'data quality control concepts,' such as optimizing performance by filtering data to improve efficiency.

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This question pertains to the Visualization and Reporting domain, focusing on report delivery methods. The requirement for delivery every seven days indicates a scheduled, repeating process.

Recurring (Option A): Recurring delivery schedules reports to be generated and delivered at regular intervals (e.g., weekly), which matches the requirement of every seven days.

Ad hoc (Option B): Ad hoc reports are one-time, on-demand reports, not suitable for scheduled delivery.

Custom (Option C): Custom isn't a standard delivery method; it might refer to tailored reports but doesn't imply scheduling.

Snapshot (Option D): A snapshot captures data at a specific point, not suitable for recurring delivery.

The DA0-002 Visualization and Reporting domain includes 'the appropriate visualization in the form of a report' with delivery methods, and recurring delivery is ideal for weekly reports.

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This question pertains to the Visualization and Reporting domain, focusing on report refresh frequencies. The manager needs the report to always be up-to-date, implying continuous data updates.

Real-time (Option A): Real-time refresh frequency ensures the report reflects the latest data as soon as it changes, which matches the requirement to 'always be up-to-date.'

Ad hoc (Option B): Ad hoc reports are generated on-demand, not continuously updated.

Snapshot (Option C): A snapshot captures data at a specific point in time, not suitable for always being up-to-date.

Dynamic (Option D): Dynamic reports allow interactivity, but the term doesn't specifically imply real-time updates.

The DA0-002 Visualization and Reporting domain includes 'the appropriate visualization in the form of a report' with delivery methods, and real-time refresh frequency ensures the report is always current.

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