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CompTIA DA0-001 Testing Center | DA0-001 Latest Exam Papers

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CompTIA DA0-001 exam, also known as the CompTIA Data+ certification exam, is a certification exam designed to test an individual's knowledge and skills in the field of data management. DA0-001 exam is ideal for individuals who are looking to advance their careers in data management and administration. DA0-001 Exam covers a range of topics such as database management, data warehousing, data security, data analysis, and more. It is a vendor-neutral exam, which means that it is not tied to a specific technology or solution, making it a valuable certification for professionals working in any industry.

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CompTIA Data+ Certification Exam Sample Questions (Q93-Q98):

NEW QUESTION # 93
Which of the following best describes how discrete data differs from continuous data?

A. Discrete data applies only to numbers.
B. Discrete data can only be a finite number of values.
C. Discrete data can have decimal points.
D. Discrete data cannot create a sloped line.

Answer: B

Explanation:
Discrete data are data that can only assume specific values that are countable and distinct. For example, the number of books, the number of heads in a coin toss, or the number of patients in a hospital are discrete data. Discrete data cannot have fractional or decimal values, and there are clear spaces between the possible values12.
Continuous data are data that can assume any value within a range and can be meaningfully divided into smaller parts. For example, the weight, height, length, time, or temperature are continuous data. Continuous data can have fractional or decimal values, and there are infinite numbers of possible values between any two points12.

NEW QUESTION # 94
Which of the following is a characteristic of a relational database?

A. It uses minimal memory.
B. It has undefined fields.
C. It is structured in nature.
D. It utilizes key-value pairs.

Answer: C

Explanation:
It is structured in nature. This is because a relational database is a type of database that organizes data into tables, which consist of rows and columns. A relational database is structured in nature, which means that the data has a predefined schema or format, and follows certain rules and constraints, such as primary keys, foreign keys, or referential integrity. A relational database can be used to store, query, and manipulate data using a structured query language (SQL). The other characteristics are not true for a relational database. Here is why:
It utilizes key-value pairs. This is not true for a relational database, because key-value pairs are a way of storing data that associates each value with a unique key, such as an identifier or a name. Key-value pairs are typically used in non-relational databases, such as NoSQL databases, which do not have tables, rows, or columns, but rather store data in various formats, such as documents, graphs, or columns.
It has undefined fields. This is not true for a relational database, because fields are another name for columns in a table, which define the attributes or properties of each row or record in the table. Fields have defined names, types, and lengths in a relational database, which specify the format and size of the data that can be stored in each field.
It uses minimal memory. This is not true for a relational database, because memory is the amount of space or storage that is used by a database to store and process data. Memory usage depends on various factors, such as the size, complexity, and number of tables and queries in a relational database. A relational database can use a lot of memory if it has many tables with many rows and columns, or if it performs complex or frequent queries on the data.

NEW QUESTION # 95
Which of the following data governance concepts fits into the security requirements category?

A. Personally identifiable information
B. Data use agreements
C. Data transmission
D. Data deletion

Answer: A

NEW QUESTION # 96
An analyst conducted a preliminary analysis for a data set and identified several patterns and anomalies. Which of the following analysis techniques did the analyst use?

A. Trend analysis
B. Performance analysis
C. Exploratory analysis
D. Link analysis

Answer: C

Explanation:
Comprehensive and Detailed In-Depth
Exploratory Data Analysis (EDA) is an approach used by analysts to analyze data sets to summarize their main characteristics, often employing visual methods. The primary goal of EDA is to discover patterns, spot anomalies, test hypotheses, and check assumptions through statistical graphics and other data visualization tools.
Option A:Performance analysis
Rationale:Performance analysis focuses on assessing the efficiency and effectiveness of a system, process, or individual. It involves measuring key performance indicators (KPIs) to determine how well objectives are being met. This type of analysis is not primarily concerned with identifying patterns or anomalies in data sets.
Option B:Exploratory analysis
Rationale:Exploratory analysis involves examining data sets to uncover underlying structures, extract important variables, detect outliers, and test underlying assumptions. By using statistical tools and visualization techniques, analysts can identify patterns andanomalies, making it a crucial first step in data analysis.
Reference:
comptia.org
Option C:Link analysis
Rationale:Link analysis is a data analysis technique used to evaluate relationships or connections between nodes in a network. It's commonly used in fields like criminology, fraud detection, and network analysis to identify relationships between entities. While valuable, it is more specialized and not typically used for general pattern and anomaly detection in data sets.
Option D:Trend analysis
Rationale:Trend analysis involves analyzing data to identify patterns or trends over a specific period. It is used to predict future movements based on historical data. While it focuses on patterns, it is specifically concerned with temporal changes rather than a broad examination of data for various patterns and anomalies.

NEW QUESTION # 97
An analyst has generated a report that includes the number of months in the first two quarters of 2019 when sales exceeded $50,000:

Which of the following functions did the analyst use to generate the data in the Sales_indicator column?

A. Logical
B. Sort
C. Aggregate
D. Date

Answer: C

NEW QUESTION # 98
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