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CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a vendor-neutral certification exam designed to validate the skills and knowledge of a data professional. DA0-001 exam is ideal for individuals who are looking to establish a career in the field of data analytics, management, and processing. It is also suitable for those who are already working in the industry and want to enhance their skills and knowledge.
NEW QUESTION # 53
What symbol is used for the variance of a population of data?
- A. 0
- B. 2x2
- C. s
- D. 0x2
Answer: D
Explanation:
The sample variance is defined by(15.59)We use the symbol sx2 for a sample variance and the symbol ox2 for a population variance.
NEW QUESTION # 54
Jenny wants to study the academic performance of undergraduate sophomores and wants to determine the average grade point average at different points during an academic year.
What best describes the data set she needs?
- A. Variable.
- B. Sample.
- C. Population.
- D. Observation.
Answer: B
Explanation:
Correct answer A. Sample.
Jenny does not have data for the entire population of all undergraduate sophomores. While a specific grade point average is an observation of variable, jenny needs sample data.
NEW QUESTION # 55
Alex wants to use data from his corporate sale, CRM, and shipping systems to try and predict future sales.
Which of the following systems is the most appropriate?
Choose the best answer.
- A. OLTP.
- B. Data Warehouse.
- C. OLAP.
- D. Data mart.
Answer: B
Explanation:
Explanation
Correct answer: C. Data Warehouse.
Data warehouse bring together data from multiple systems used by an organization.
A data mart is too narrow, as Alex needs data from across multiple divisions.
OLAP is a broad term of analytical processing, and OLTP systems are transactional and not ideal for this task.
NEW QUESTION # 56
What is the most time-consuming of the practices that authorize international data transfers under GDPR?
- A. Privacy shield.
- B. Standard contractual clauses.
- C. Binding corporate rules.
- D. Memoranda of understanding.
Answer: C
NEW QUESTION # 57
What internal document explains privacy responsibilities to employees who will handle personally identifiable information?
- A. Integrity policy
- B. Privacy policy
- C. Security policy
- D. Acceptable use policy
Answer: D
NEW QUESTION # 58
Which of following is a non-relational database?
- A. Neo4j
- B. SQLite
- C. PostgreSQL
- D. MySQL
Answer: A
Explanation:
Explanation
Neo4j is a type of non-relational database that uses a graph model to store data. A graph database is a database that represents data as nodes and edges, where nodes are entities and edges are relationships between them. A graph database can store complex and diverse data that is not easily structured in tables. A graph database can also perform fast and efficient queries on the data by traversing the connections between the nodes
NEW QUESTION # 59
A data analyst has a set with more than 40.000 rows in the sample schema below:
The analyst would like to create one column that contains the customers' birth dates. Which of the following data quality dimensions would BEST explain the reason for compilation?
- A. Data duplication
- B. Data integrity
- C. Data accuracy
- D. Data completeness
Answer: B
NEW QUESTION # 60
Which one of the following would not normally be considered a summary statistic?
- A. Variance.
- B. z-score.
- C. Standard deviation.
- D. Mean.
Answer: B
Explanation:
Simply put, a z-score (also called a standard score) gives you an idea of how far from the mean a data point is. But more technically it's a measure of how many standard deviations below or above the population mean a raw score is. A z-score can be placed on a normal distribution curve.
NEW QUESTION # 61
A database consists of one fact table that is composed of multiple dimensions. Depending on the dimension, each one can be represented by a denormalized table or multiple normalized tables. This structure is an example of a:
- A. snowflake schema.
- B. non-relational schema.
- C. star schema.
- D. transactional schema.
Answer: C
Explanation:
Explanation
star schema is a type of database schema that consists of one fact table that is composed of multiple dimensions. A fact table contains quantitative measures or facts that are related to a specific event or transaction. A dimension table contains descriptive attributes or dimensions that provide context for the facts.
A star schema is called so because it resembles a star, with the fact table at the center and the dimension tables radiating from it. A star schema is a type of dimensional schema, which is designed for data warehousing and analytical purposes. Other types of dimensional schemas include snowflake schema and galaxy schema. A snowflake schema is similar to a star schema, except that some or all of the dimension tables are normalized into multiple tables. A galaxy schema consists of multiple fact tables that share some common dimension tables. A transactional schema is a type of database schema that is designed for operational purposes, such as recording day-to-day transactions and activities. A transactional schema is usually normalized to reduce data redundancy and improve data integrity. A non-relational schema is a type of database schema that does not follow the relational model, which organizes data into tables with rows and columns. A non-relational schema can store data in various formats, such as documents, graphs, key-value pairs, etc.
NEW QUESTION # 62
Consider this dataset showing the retirement age of 11 people, in whole years:
54, 54, 54, 55, 56, 57, 57, 58, 58, 60, 60
This tables show a simple frequency distribution of the retirement age data.
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
Explanation
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.
What is the mode?
The mode is the most commonly occurring value in a distribution.
The most commonly occurring value is 54, therefore the mode of this distribution is 54 years.
NEW QUESTION # 63
Which one of the following is a common data warehouse schema?
- A. Spiral.
- B. Snowflake.
- C. Square.
- D. Sphere.
Answer: B
Explanation:
Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings. The Snowflake data platform is not built on any existing database technology or "big data" software platforms such as Hadoop.
NEW QUESTION # 64
A data analyst is attempting to understand how ice cream consumption is affected by different attributes. such as cost, temperature. and income level. Which of the following regression analyses should the data analyst perform to understand this relationship?
- A. Ordinary least squares
- B. Logistic
- C. Cox
- D. Polynomial
Answer: A
Explanation:
Explanation
answer: B. Ordinary least squares
Ordinary least squares (OLS) is a type of linear regression that is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is reasonably linear. The response variable is a continuous numeric variable1.
In this case, the data analyst is interested in understanding how ice cream consumption (the response variable) is affected by different attributes, such as cost, temperature, and income level (the predictor variables).
Assuming that these variables have a linear relationship, OLS can be used to estimate the coefficients of the regression equation that best fits the data. OLS can also provide measures of goodness-of-fit, such as R-squared and adjusted R-squared, and test the significance of the coefficients using t-tests and F-tests2.
Option A is incorrect, as logistic regression is used to fit a regression model that describes the relationship between one or more predictor variables and a binary response variable. Use when: The response variable is binary - it can only take on two values1. Ice cream consumption is not a binary variable, but rather a continuous numeric variable.
Option C is incorrect, as Cox regression is used to fit a regression model that describes the relationship between one or more predictor variables and a survival time response variable. Use when: The response variable is the time until an event of interest occurs, such as death, failure, or recovery3. Ice cream consumption is not a survival time variable, but rather a continuous numeric variable.
Option D is incorrect, as polynomial regression is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is non-linear1. If there is no evidence of non-linearity in the data, polynomial regression may not be appropriate, as it may overfit the data and produce unreliable estimates.
NEW QUESTION # 65
How many variables may be shown in a simple pie chart?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 66
A data analyst has been asked to derive a new variable labeled "Promotion_flag" based on the total quantity sold by each salesperson. Given the table below:
Which of the following functions would the analyst consider appropriate to flag "Yes" for every salesperson who has a number above 1,000,000 in the Quantity_sold column?
- A. Date
- B. Mathematical
- C. Aggregate
- D. Logical
Answer: D
NEW QUESTION # 67
A company's marketing department wants to do a promotional campaign next month. A data analyst on the team has been asked to perform customer segmentation, looking at how recently a customer bought product, at what frequency, and at what value. Which of the following types of analysis would this practice be considered?
- A. Custer
- B. Trend
- C. Gap
- D. Prescriptive
Answer: A
NEW QUESTION # 68
Jhon is working on an ELT process that sources data from six different source systems.
Looking at the source data, he finds that data about the sample people exists in two of six systems.
What does he have to make sure he checks for in his ELT process?
Choose the best answer.
- A. Duplicate Data.
- B. Redundant Data.
- C. Missing Data.
- D. Invalid Data.
Answer: D
Explanation:
Duplicate Data.
While invalid, redundant, or missing data are all valid concerns, data about people exists in two of the six systems. As such, Jhon needs to account for duplicate data issues.
NEW QUESTION # 69
What is an example of data in transit?
- A. Data on a smartphone.
- B. Data on a network.
- C. Data in memory on a computer.
- D. Data on a hard disk.
Answer: B
Explanation:
A data network is a system designed to transfer data from one network access point to one other or more network access points via data switching, transmission lines, and system controls. Data networks consist of communication systems such as circuit switches, leased lines, and packet switching networks.
NEW QUESTION # 70
A data analyst must separate the column shown below into multiple columns for each component of the name:
Which of the following data manipulation techniques should the analyst perform?
- A. Transposing
- B. Imputing
- C. Concatenating
- D. Parsing
Answer: D
NEW QUESTION # 71
Which of the following is an example of a discrete data type?
- A. 8in (20cm)
- B. 2.5mi (4km)
- C. 5 kids
- D. 10.7lbs (4.9kg)
Answer: C
Explanation:
Explanation
A discrete data type is a data type that can only take on a finite number of values, such as integers or categories. An example of a discrete data type is the number of kids, as it can only be a whole number. The other options are examples of continuous data types, as they can take on any value within a range. The length in inches or centimeters, the distance in miles or kilometers, and the weight in pounds or kilograms are all continuous data types. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy
NEW QUESTION # 72
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. Date
- B. Sort
- C. Aggregate
- D. Logical
Answer: D
Explanation:
Explanation
This is because a logical function is a type of function that returns a value based on a condition or a set of conditions. A logical function can be used to generate the data in the Sales_indicator column by comparing the values in the Sales column with a threshold of $50,000 and returning either "Exceeded $50,000" or "Not exceeded $50,000" accordingly. For example, a logical function in Excel that can achieve this is:
The other functions are not suitable for generating the data in the Sales_indicator column. Here is why:
Aggregate is a type of function that performs a calculation on a group of values, such as sum, average, count, etc. An aggregate function cannot generate the data in the Sales_indicator column because it does not compare the values in the Sales column with a threshold or return a text value based on a condition.
Date is a type of function that manipulates or extracts information from dates, such as year, month, day, etc. A date function cannot generate the data in the Sales_indicator column because it does not use the values in the Sales column or return a text value based on a condition.
Sort is a type of function that arranges the values in a column or a range in ascending or descending order. A sort function cannot generate the data in the Sales_indicator column because it does not create a new column or return a text value based on a condition.
NEW QUESTION # 73
What R package makes it easy to work with dates?
- A. ggplot.
- B. Lubridate.
- C. Stringr.
- D. Datemath.
Answer: B
Explanation:
Lubridate is an R package that makes it easier to work with dates and times.
NEW QUESTION # 74
An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:
Which of the following charts would be BEST to use?
- A. Waterfall
- B. Pie
- C. Scatter pot
- D. Histogram
- E. Line
Answer: B
NEW QUESTION # 75
Consider this dataset showing the retirement age of 11 people, in whole years:
54, 54, 54, 55, 56, 57, 57, 58, 58, 60, 60
This tables show a simple frequency distribution of the retirement age data.
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
Explanation
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.
What is the mode?
The mode is the most commonly occurring value in a distribution.
The most commonly occurring value is 54, therefore the mode of this distribution is 54 years.
NEW QUESTION # 76
Which of the following describes the method of sampling in which elements of data are selected randomly from each of the small subgroups within a population?
- A. Simple random
- B. Stratified
- C. Systematic
- D. Cluster
Answer: B
Explanation:
Explanation
This is because stratified is a type of sampling in which elements of data are selected randomly from each of the small subgroups within a population, such as age groups, gender groups, or income groups. Stratified sampling can be used to ensure that the sample is representative and proportional of the population, as well as reduce the sampling error or bias. For example, stratified sampling can be used to select a sample of voters from different political parties based on their proportion in the population. The other types of sampling are not the types of sampling in which elements of data are selected randomly from each of the small subgroups within a population. Here is why:
Simple random is a type of sampling in which elements of data are selected randomly from the entire population, without dividing it into any subgroups. Simple random sampling can be used to ensure that every element in the population has an equal chance of being selected, as well as avoid any systematic error or bias. For example, simple random sampling can be used to select a sample of students from a school by using a lottery or a computer-generated number.
Cluster is a type of sampling in which elements of data are selected randomly from a few large subgroups within a population, such as regions, districts, or schools. Cluster sampling can be used to reduce the cost and complexity of sampling, as well as increase the feasibility and convenience of sampling. For example, cluster sampling can be used to select a sample of households from a few neighborhoods by using a map or a list.
Systematic is a type of sampling in which elements of data are selected at regular intervals from an ordered list or sequence within a population, such as every nth element or every kth element. Systematic sampling can be used to simplify and speed up the sampling process, as well as ensure that the sample covers the entire range or scope of the population. For example, systematic sampling can be used to select a sample of books from a library by using an alphabetical order or a numerical order.
NEW QUESTION # 77
Which of the ing is the correct ion for a tab-delimited spre file?
- A. sv
- B. tap
- C. az
- D. tar
Answer: A
Explanation:
Explanation
A tab-delimited spreadsheet file is a type of flat text file that uses tabs as delimiters to separate data values in a table. The file extension for a tab-delimited spreadsheet file is usually .tsv, which stands for tab-separated values. Therefore, the correct answer is C. References: [Tab-separated values - Wikipedia], [What is a TSV File? | How to Open, Edit & Convert TSV Files]
NEW QUESTION # 78
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