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NEW QUESTION # 12
Five dogs have the following heights in millimeters:
300,430, 170, 470, 600
Which of the following is the standard deviation for the five dogs?
- A. 154mm
- B. 147mm
- C. 394 mm
- D. 21,704mm
Answer: A
Explanation:
Explanation
The correct answer is B. 154 mm.
The standard deviation is a measure of how much the values in a data set vary from the mean. To calculate the standard deviation, we need to follow these steps:
Find the mean of the data set by adding up all the values and dividing by the number of values. In this case, the mean is (300 + 430 + 170 + 470 + 600) / 5 = 394 mm.
Find the difference between each value and the mean, and square it. In this case, the differences and their squares are:
300 - 394 = -94, (-94)^2 = 8836
430 - 394 = 36, (36)^2 = 1296
170 - 394 = -224, (-224)^2 = 50176
470 - 394 = 76, (76)^2 = 5776
600 - 394 = 206, (206)^2 = 42436
Find the sum of the squared differences. In this case, the sum is 8836 + 1296 + 50176 + 5776 + 42436 =
108520.
Divide the sum by the number of values. In this case, the result is 108520 / 5 = 21704. This is called the variance.
Take the square root of the variance. In this case, the result is sqrt(21704) = 147.32 mm. This is called the standard deviation.
Rounding to the nearest whole number, we get 154 mm as the standard deviation.
NEW QUESTION # 13
Which of the following data manipulation techniques is an example of a logical function?
- A. IF
- B. BOOLEAN
- C. WHERE
- D. AGGREGATE
Answer: B
NEW QUESTION # 14
Different people manually type a series of handwritten surveys into an online database. Which of the following issues will MOST likely arise with this data? (Choose two.)
- A. Data constraints
- B. Data manipulation
- C. Data consistency
- D. Data attribute limitations
- E. Data bias
- F. Data accuracy
Answer: C,F
Explanation:
Explanation
Data accuracy refers to the extent to which the data is correct, reliable, and free of errors. When different people manually type a series of handwritten surveys into an online database, there is a high chance of human error, such as typos, misinterpretations, omissions, or duplications. These errors can affect the quality and validity of the data and lead to incorrect or misleading analysis and decisions.
Data consistency refers to the extent to which the data is uniform and compatible across different sources, formats, and systems. When different people manually type a series of handwritten surveys into an online database, there is a high chance of inconsistency, such as different spellings, abbreviations, formats, or standards. These inconsistencies can affect the integration and comparison of the data and lead to confusion or conflicts.
Therefore, to ensure data quality, it is important to have clear and consistent rules and procedures for data entry, validation, and verification. It is also advisable to use automated tools or methods to reduce human error and inconsistency.
NEW QUESTION # 15
Mario works with a group of R programmers tasked with copying data from an accounting system into a data warehouse.
In what phase are the group's R skills most relevant?
- A. Transform.
- B. Load.
- C. Purge.
- D. Extract.
Answer: A
Explanation:
Correct answer C. Transform
The R programming language is used to manipulate and model data.
In the ETL process, this activity normally takes place during the Transform phase.
The Extract and Load phases typically use database-centric tools.
Purging data from database is typically done using SQL.
NEW QUESTION # 16
Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?
- A. Data protection.
- B. Data encryption.
- C. Data transmission.
- D. Data masking.
Answer: B
Explanation:
A) Data encryption.
Data encryption is a way of translating data from plaintext (unencrypted) to ciphertext (encrypted). Users can access encrypted data with an encryption key and decrypted data with a decryption key.
NEW QUESTION # 17
Which of the following BEST describes standard deviation?
- A. A measure that is used to establish a relationship between two variables
- B. A measure that is used to find the significant difference between variables
- C. A measure of how data is distributed
- D. A measure of the amount of dispersion of a set of values
Answer: D
NEW QUESTION # 18
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. Pie
- B. Line
- C. Waterfall
- D. Histogram
- E. Scatter pot
Answer: A
Explanation:
Explanation
A pie chart is the best choice to show the composition between the categories of the survey response data set.
A pie chart represents the whole with a circle, divided by slices into parts. Each slice shows the relative size of each category as a percentage of the total. A pie chart is useful when the categories are mutually exclusive and add up to 100%. The table shows the favorite color and the number of responses for each color, which can be easily converted into percentages. A pie chart can show how each color contributes to the total number of responses.
Option A is incorrect because a histogram is used to show how data points are distributed along a numerical scale. The survey response data set is not numerical, but categorical.
Option C is incorrect because a line chart is used to show trends or changes over time. The survey response data set does not have a time dimension.
Option D is incorrect because a scatter plot is used to show the relationship between two numerical variables.
The survey response data set does not have two numerical variables.
Option E is incorrect because a waterfall chart is used to show how an initial value is increased or decreased by a series of intermediate values. The survey response data set does not have an initial value or intermediate values.
References:
How to Choose the Right Chart for Your Data - Infogram
How to Choose the Right Data Visualization | Tutorial by Chartio
Find the Best Visualizations for Your Metrics - The Data School
How to choose the best chart or graph for your data
NEW QUESTION # 19
Which of the following is an example of a discrete data type?
- A. 8in (20cm)
- B. 5 kids
- C. 10.7lbs (4.9kg)
- D. 2.5mi (4km)
Answer: B
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 # 20
Which of following is a non-relational database?
- A. PostgreSQL
- B. SQLite
- C. Neo4j
- D. MySQL
Answer: C
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 # 21
What type of data is best suited for display using a tree map?
- A. Text data
- B. Time series data
- C. Nested data
- D. Numeric data
Answer: C
NEW QUESTION # 22
Which of the following is an example of a discrete variable?
- A. The number of people in an office
- B. The height of a horse
- C. The temperature of a hot tub
- D. The time to complete a task
Answer: A
Explanation:
Explanation
A discrete variable is a variable that can only take on a finite number of values, such as integers or categories.
The number of people in an office is an example of a discrete variable, as it can only be a whole number. The temperature of a hot tub, the height of a horse, and the time to complete a task are examples of continuous variables, as they can take on any value within a range. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy
NEW QUESTION # 23
A web developer wants to ensure that malicious users can't type SQL statements when they asked for input, like their username/userid.
Which of the following query optimization techniques would effectively prevent SQL Injection attacks?
- A. Temporary table in the query set.
- B. Subset of records.
- C. Parametrization.
- D. Indexing.
Answer: C
Explanation:
Explanation
The correct answer is D: Parametrization. Parameterized SQL queries allow you to place parameters in an SQL query instead of a constant value. A parameter takes a value only when the query is executed, allowing the query to be reused with different values and purposes. Parameterized SQL statements are available in some analysis clients, and are also available through the Historian SDK.
For example, you could create the following conditional SQL query, which contains a parameter for the collector's name: SELECT* FROM ExamsDigest WHERE coursename=? ORDER BY tagname SQL Injection is best prevented through the use of parameterized queries.
NEW QUESTION # 24
Given the following data tables:
Which of the following MDM processes needs to take place FIRST?
- A. Consolidation of multiple data fields
- B. Standardization of data field names
- C. Compliance with regulations
- D. Creation of a data dictionary
Answer: B
NEW QUESTION # 25
A sales team wants visibility of current sales numbers, pipeline, and team performance. The team would also like to see calculations of individuals' earned commissions and projected commissions based on sales, but they want that information to be kept confidential. Which of the following would be the BEST way to provide this visibility?
- A. Create a dashboard displaying a data refresh date so users know the current sales numbers and configure permissions to control access.
- B. Create a dashboard with views for team, individuals, and management. Configure permissions to control access.
- C. Create a dashboard for sales numbers, pipeline, and team and individual performance for the management team.
- D. Create a dashboard with filters for the overall team, individuals, and management. Users can filter to see the data they want.
Answer: C
NEW QUESTION # 26
What three technological innovations contribute to modern analytics?
Choose three answers.
- A. Computing.
- B. Storage.
- C. Dashboard.
- D. Data.
Answer: A,B,D
NEW QUESTION # 27
When analyzing the values of two variables, you decide to convert both variables so they are on a scale of 0 to 1.
What term describes this action?
- A. Normalization.
- B. Transposition.
- C. Filtering.
- D. Aggregation.
Answer: A
Explanation:
Normalization is the process of reorganizing data in a database so that it meets two basic requirements: There is no redundancy of data, all data is stored in only one place. Data dependencies are logical, all related data items are stored together.
Put simply, data normalization ensures that your data looks, reads, and can be utilized the same way across all of the records in your customer database. This is done by standardizing the formats of specific fields and records within your customer database.
NEW QUESTION # 28
Randy scored 76 on a math test, Katie scored 86 on a science test, Ralph scored 80 on a history test, and Jean scored 80 on an English test. The table below contains the mean and standard deviation of the scores for each of the courses:
Using this information, which of the following students had the BEST score?
- A. Katie
- B. Jean
- C. Randy
- D. Ralph
Answer: A
Explanation:
Explanation
To compare the students' scores, we need to standardize them by using the z-score formula, which is:
z = (x - ) /
where x is the raw score, is the mean, and is the standard deviation. The z-score tells us how many standard deviations a score is above or below the mean. A higher z-score means a better score relative to the average.
Using the table, we can calculate the z-scores for each student as follows:
Randy: z = (76 - 70) / 2 = 3 Katie: z = (86 - 80) / 3 = 2 Ralph: z = (80 - 75) / 2 = 2.5 Jean: z = (80 - 90) / 1 =
-10
The student with the highest z-score is Randy, with a z-score of 3. This means that Randy scored 3 standard deviations above the mean in math, which is the best performance among the four students. Therefore, the correct answer is A.
References: Comparing with z-scores (video) | Z-scores | Khan Academy, 17 Important Data Visualization Techniques | HBS Online
NEW QUESTION # 29
Which of the following contains alphanumeric values?
- A. 13.6
- B. A3J7
- C. 10.12
- D. 0
Answer: B
Explanation:
Explanation
Alphanumeric values are values that contain both letters and numbers, such as A3J7. The other options are numeric values, as they contain only numbers, such as 10.1E2, 13.6, and 1347. Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert
NEW QUESTION # 30
A data analyst is asked on the morning of April 9, 2020, to create a sales report that identifies sales year to date. The daily sales data is current through the end of the day. Which of the following date ranges should be on the report?
- A. January 1, 2020 to April 9, 2020
- B. January 1, 2020 to April 1, 2020
- C. January 1, 2020 to April 7, 2020
- D. January 1, 2020 to April 8, 2020
Answer: D
NEW QUESTION # 31
Which of the following actions should be taken when transmitting data to mitigate the chance of a data leak occurring? (Choose two.)
- A. Data processing
- B. Data encryption
- C. Data identification
- D. Data masking
- E. Fata removal
- F. Data reporting
Answer: B,D
NEW QUESTION # 32
Different people manually type a series of handwritten surveys into an online database. Which of the following issues will MOST likely arise with this data? (Choose two.)
- A. Data constraints
- B. Data manipulation
- C. Data attribute limitations
- D. Data bias
- E. Data accuracy
- F. Data consistency
Answer: B,E
NEW QUESTION # 33
You should always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool.
- A. False.
- B. True.
Answer: A
NEW QUESTION # 34
The current date is July 14, 2020. A data analyst has been asked to create a report that shows the company's year-over-year Q2 2020 sales. Which of the following reports should the analyst compare?
- A. YTD 2020 and YTD 2019
- B. Q2 2020 and Q2 2019
- C. Q2 2020 and Q2 2021
- D. A Q2 2020 and Q4 2019
Answer: B
Explanation:
Explanation
To create a report that shows the company's year-over-year Q2 2020 sales, the analyst should compare the sales data from Q2 2020 and Q2 2019. Year-over-year (YoY) analysis is a method of comparing the performance of a business or a financial instrument over the same period in different years. It helps to identify trends, growth patterns, and seasonal fluctuations. Q2 refers to the second quarter of a year, which is usually from April to June. Therefore, the correct answer is C. References: YoY - Year over Year Analysis - Definition, Explanation & Examples, What is an Annual Sales Report: Definition, metrics, and tips - Snov.io
NEW QUESTION # 35
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. Imputing
- B. Concatenating
- C. Parsing
- D. Transposing
Answer: C
Explanation:
Explanation
Parsing is the data manipulation technique that should be used to separate the column into multiple columns for each component of the name. Parsing is the process of breaking down a string of text into smaller units, such as words, symbols, or numbers. Parsing can be used to extract specific information from a text column, such as names, addresses, phone numbers, etc. Parsing can also be used to split a text column into multiple columns based on a delimiter, such as a comma, space, or dash1. In this case, the analyst can use parsing to split the column by the comma delimiter and create three new columns: one for the last name, one for the first name, and one for the middle initial. This will make the data more organized and easier to analyze.
NEW QUESTION # 36
The ACME Corporation hired an analyst to detect data quality issues in their excel documents. Which of the following are the most common issues? (Select TWO)
- A. Symbols.
- B. Apostrophe.
- C. Misspellings.
- D. Commas.
- E. Duplicates.
Answer: C,E
Explanation:
1. Duplicates
2. Misspellings
The most common data quality issues are difficult to resolve in Excel because of their rigidity. It forces analysts to do a ton of manual work, which results in a high probability of an error being introduced to the data set. Those common issues include:
- Blanks
- Nulls
- Outliers
- Duplicates
- Extra spaces
- Misspellings
- Abbreviations and domain-specific variations
- Formula error codes
When introduced, these errors can skew or even invalidate the resulting analysis. A smart tool would minimize the possibility of error by automating the manual work. In Excel, you might look for data quality issues in one of two ways. First, you might use auto filters on specific columns to scan for anomalies and blanks or you might use a pivot table to find gaps and discrepancies.
In either case, you're scanning for the anomalies yourself. Suffice it to say that's not a very efficient process. It also means accuracy is only as good as the analyst's eye, so the probability of error varies throughout the day.
NEW QUESTION # 37
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