DA0-002 Exam Dumps - CompTIA Data+ Questions and Answers

This question falls under the Data Analysis domain, focusing on statistical measures. The mode is the value that appears most frequently in a dataset.

Monday: 455

Tuesday: 346

Wednesday: 382

Thursday: 563

Friday: 887

Saturday: 934

Sunday: 346

The value 346 appears twice (Tuesday and Sunday), while all other values (455, 382, 563, 887, 934) appear once. Thus, the mode is 346.

Option A: 346 – Correct, as it’s the most frequent value.

Option B: 446 – Incorrect, as 446 doesn’t appear in the dataset.

Option C: 455 – Incorrect, as 455 appears only once.

Option D: 559 – Incorrect, as 559 doesn’t appear in the dataset.

The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and the mode is a fundamental measure of central tendency.

This question falls under the Data Analysis domain of CompTIA Data+ DA0-002, focusing on SQL queries for data analysis. The task requires sorting cellular numbers by the carrier of the called number (called_number_carrier) and calculating the total call durations (SUM(call_duration)).

Option A: SELECT cellular_number, called_number_carrier, SUM(call_duration) FROM calls GROUP BY cellular_number ORDER BY called_number_carrierThis query groups by cellular_number only, but called_number_carrier is in the SELECT clause without being in the GROUP BY, which is invalid in SQL (it would raise an error in most databases).

Option B: SELECT cellular_number, SUM(call_duration) FROM calls GROUP BY call_duration ORDER BY called_number_carrierThis query doesn’t include called_number_carrier in the SELECT clause, so it cannot be used in the ORDER BY clause, making it invalid. Grouping by call_duration also doesn’t align with the task.

Option C: SELECT cellular_number, called_number_carrier, SUM(call_duration) FROM calls GROUP BY cellular_number, called_number_carrier ORDER BY called_number_carrierThis query correctly groups by both cellular_number and called_number_carrier (since both are in the SELECT clause), calculates the total call duration with SUM(call_duration), and sorts by called_number_carrier as required.

Option D: SELECT cellular_number, called_number_carrier, SUM(call_duration) FROM calls GROUP BY call_duration ORDER BY called_number_carrierGrouping by call_duration is incorrect because cellular_number and called_number_carrier are in the SELECT clause but not in the GROUP BY, making this query invalid.

The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and Option C correctly aggregates and sorts the data as specified.

This question pertains to the Data Concepts and Environments domain, focusing on file formats for data sharing. The task is to identify the best reason to choose CSV over Excel for sharing data.

CSV files can store different types of encoding (Option A): While CSV files can use different encodings, this isn’t the primary reason to choose them over Excel.

CSV files are not vendor-specific (Option B): CSV is a plain-text format that can be opened by any software, unlike Excel files, which are tied to Microsoft Excel, making CSV more interoperable and the best reason for sharing.

CSV files are smaller in size (Option C): CSV files are often smaller due to their simplicity, but this isn’t always the primary reason for sharing.

CSV files are easier to change in text editors (Option D): While true, this isn’t the most compelling reason for sharing data across systems.

The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and CSV’s vendor-neutral nature makes it ideal for sharing data.

This question falls under the Data Governance domain, focusing on data breach response protocols. A data breach requires a structured response to comply with legal and regulatory requirements.

Make an announcement on social media so customers are aware as soon as possible (Option A): Public announcement without internal coordination or regulatory notification can lead to legal issues and loss of trust.

Tell the company management team and then tell regulatory agencies (Option B): This follows best practices: inform internal leadership to coordinate a response, then notify regulatory agencies as required by laws (e.g., GDPR mandates notification within 72 hours).

Keep the incident a secret until the issue is resolved (Option C): This violates regulations requiring timely breach notification.

Inform the entire IT sector, but ask for discretion (Option D): Sharing with the IT sector is vague and risks leaks; regulatory agencies should be prioritized.

The DA0-002 Data Governance domain includes "data privacy concepts," such as proper breach response procedures, emphasizing internal and regulatory notification.

This question pertains to the Data Acquisition and Preparation domain, focusing on combining data from two tables. Both tables have the same structure (ID, First_name, Last_name, Job_title) and contain employee data, suggesting the task is to create a single list of all employees.

Group (Option A): Grouping (e.g., GROUP BY in SQL) is for aggregation (e.g., counting employees by job title), not combining tables into a single report.

Join (Option B): Joining tables (e.g., INNER JOIN) requires a common key and combines tables horizontally, but there’s no indication of a relationship between the tables (e.g., no shared key beyond ID, which isn’t linked).

Union (Option C): UNION combines the rows of two tables with the same structure into a single result set, removing duplicates, which is ideal for creating a combined report of all employees from both tables.

Nested (Option D): Nested queries (e.g., subqueries) are used for complex filtering, not for combining tables into a single list.

The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and UNION is the best method for combining two tables with identical structures into a single report.

This question falls under the Data Concepts and Environments domain, focusing on types of databases. The task is to identify a NoSQL database among the options.

PostgreSQL (Option A): PostgreSQL is a relational (SQL) database, not NoSQL.

MySQL (Option B): MySQL is a relational (SQL) database, not NoSQL.

Oracle (Option C): Oracle Database is a relational (SQL) database, not NoSQL.

MongoDB (Option D): MongoDB is a NoSQL database that uses a document-based model, storing data in JSON-like structures, making it the correct choice.

The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and MongoDB is a well-known NoSQL database.