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質問 # 164
A junior web developer is developing a new application where users can upload short videos. The first task is to create a homepage that shows the headline "Upload Your Short Videos" and a clickable button that says "upload now".
Which of the following HTML commands would help the developer to complete the task successfully?
- A. < hl >Upload Your Short Videos< /h1 >< hl >upload now< /h1 >
- B. < hl >Upload Your Short Videos< /h1 >< button >upload now< /button >
- C. < p >Upload Your Short Videos< /p >< p >upload now< /p >
- D. < span >Upload Your Short Videos< /span >< button >upload now< /button >
正解：B
解説：
The correct answer is: Upload Your Short Videos
upload now
The two tags are used to define HTML headings. defines the most important heading. defines the least important heading.
Note: Only use one per page - this should represent the main heading/subject for the whole page. The tag defines a clickable button.
質問 # 165
While reviewing survey data, a research analyst notices data is missing from all the responses to a single question. Which of the following methods would BEST address this issue?
- A. Replace missing data.
- B. Replace redundant data.
- C. Remove invalid data.
- D. Remove duplicate data.
正解：A
質問 # 166
An analyst needs to join two tables of data together for analysis. All the names and cities in the first table should be joined with the corresponding ages in the second table, if applicable.
Which of the following is the correct join the analyst should complete. and how many total rows will be in one table?
- A. LEFT JOIN. four rows
- B. OUTER JOIN, seven rows
- C. RIGHT JOIN. five rows
- D. INNER JOIN, two rows
正解：A
解説：
The correct join the analyst should complete is B. LEFT JOIN, four rows.
A LEFT JOIN is a type of SQL join that returns all the rows from the left table, and the matched rows from the right table. If there is no match, the right table will have null values. A LEFT JOIN is useful when we want to preserve the data from the left table, even if there is no corresponding data in the right table1 Using the example tables, a LEFT JOIN query would look like this:
SELECT t1.Name, t1.City, t2.Age FROM Table1 t1 LEFT JOIN Table2 t2 ON t1.Name = t2.Name; The result of this query would be:
Name City Age Jane Smith Detroit NULL John Smith Dallas 34 Candace Johnson Atlanta 45 Kyle Jacobs Chicago 39 As you can see, the query returns four rows, one for each name in Table1. The name John Smith appears twice in Table2, but only one of them is matched with the name in Table1. The name Jane Smith does not appear in Table2, so the age column has a null value for that row.
質問 # 167
A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?
- A. The data analyst is not querying the databases correctly.
- B. The second database is logging incorrectly.
- C. The databases are recording the event in different time zones.
- D. The databases are recording different events.
正解：C
解説：
The most likely cause of the issue is that the databases are recording the event in different time zones. A time zone is a region that observes a uniform standard time for legal, commercial, and social purposes. Different time zones have different offsets from Coordinated Universal Time (UTC), which is the primary time standard by which the world regulates clocks and time. For example, UTC-5 is five hours behind UTC, while UTC+3 is three hours ahead of UTC. If an event is being stored in two databases that are housed in different geographical locations with different time zones, it may appear that the event is being logged at different times, depending on how the databases handle the time zone conversion. For example, if one database records the event in UTC-5 and another database records the event in UTC+3, then an event that occurs at 12:00 PM in UTC-5 will appear as 9:00 AM in UTC+3. The other options are not likely causes of the issue, as they are either unrelated or implausible. The data analyst is not querying the databases incorrectly, as this would not affect the time stamps of the events. The databases are not recording different events, as they are supposed to record the same recurring event. The second database is not logging incorrectly, as there is no evidence or reason to assume that. Reference: [Time zone - Wikipedia]
質問 # 168
A development company is constructing a new unit in its apartment complex. The complex has the following floor plans:
Using the average cost per square foot of the original floor plans, which of the following should be the price of the Rose unit?
- A. $690,000
- B. $640,900
- C. $705,200
- D. $702,500
正解：C
解説：
This is because the price of the Rose unit can be estimated using the average cost per square foot of the original floor plans, which are Jasmine, Orchid, Azalea, and Tulip. To find the average cost per square foot of the original floor plans, we can use the following formula:
Plugging in the values from the original floor plans, we get:
To find the price of the Rose unit, we can use the following formula:
Plugging in the values from the Rose unit, we get:
Therefore, the price of the Rose unit should be $705,200, using the average cost per square foot of the original floor plans.
質問 # 169
An analyst is currently working on a ticket for revamping a company-wide dashboard that has been in use for five years. Which of the following should be the first step in the development process?
- A. Develop a more streanMined dashboard to roll out by the next delivery date.
- B. Make changes to a frequently used report that is already in production.
- C. Build an additional dashboard with fewer views that are tailored toward each specific team.
- D. Talk to the group that made the request to determine the desired goal.
正解：D
解説：
The first step in the development process of revamping a company-wide dashboard should be to talk to the group that made the request to determine the desired goal. This would help to understand the needs, expectations, and preferences of the stakeholders, as well as the scope, purpose, and objectives of the project.
Talking to the group that made the request would also help to establish a clear communication channel, build rapport and trust, and solicit feedback and suggestions.
質問 # 170
Given the following graph:
Which of the following summary statements upholds integrity in data reporting?
- A. Sales are approximately equal for Product A and Product B across all strategies.
- B. While Strategy 2 does not result in the highest sales of Product D, over all products it appears to be the most effective.
- C. Strategy 4 provides the best sales in comparison to other strategies.
- D. Product D should be promoted more than the other products in all strategies.
正解：C
質問 # 171
Andy is a pricing analyst for a retailer. Using a hypothesis test, he wants to assess whether people who receive electronic coupons spend more on average.
What should Andy's null hypothesis be?
- A. People who receive electronic coupons spend less on average.
- B. People who do not receive electronic coupons spend more on average.
- C. People who receive electronic coupons spend more on average.
- D. People who receive electronic coupons do not spend more on average.
正解：D
解説：
The null hypothesis presumes the status quo. Andy is testing whether or not people who receive an electronic coupon spend more on average, so, the null hypothesis states that people who receive the coupon do spend more on average.
質問 # 172
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?
- A. October 31, 2019 to October 31, 2020
- B. October 31, 2020 to November 1, 2021
- C. November 1, 2019 to October 31, 2020
- D. October 1, 2019 to October 31, 2020
正解：C
質問 # 173
Which of the following is an example of a flat file?
- A. PDF file
- B. JPEG file
- C. JSON file
- D. CSV file
正解：D
解説：
A CSV file is a type of flat file that stores data as plain text in a table-like structure with rows and columns. Each row represents a single record, while columns represent fields or attributes of the dat a. A CSV file uses commas or other delimiters to separate the values in each row. A CSV file can be easily imported or exported by various applications and programs12
質問 # 174
Which of the following best describes a difference between JSON and XML?
- A. JSON is much more difficult to parse.
- B. JSON is quicker to read and write.
- C. JSON has to use an end tag.
- D. JSON strings are longer
正解：B
解説：
The best answer is
A) JSON is quicker to read and write.
JSON (JavaScript Object Notation) is a lightweight data-interchange format that is based on the JavaScript programming language and easy to understand and generate. JSON uses a simple syntax that consists of name-value pairs and arrays, and does not require any end tags or attributes. JSON is quicker to read and write than XML (Extensible Markup Language), which is a markup language that uses a tag structure to represent data items. XML has a more complex and verbose syntax that requires end tags, attributes, and namespaces123
質問 # 175
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. Stratified
- B. Cluster
- C. Simple random
- D. Systematic
正解：A
解説：
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.
質問 # 176
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. Filtering.
- B. Transposition.
- C. Normalization.
- D. Aggregation.
正解：C
解説：
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.
質問 # 177
What three technological innovations contribute to modern analytics?
Choose three answers.
- A. Computing.
- B. Dashboard.
- C. Data.
- D. Storage.
正解：A、C、D
質問 # 178
The number of phone calls that the call center receives in a day is an example of:
- A. continuous data.
- B. ordinal data.
- C. discrete data.
- D. categorical data.
正解：C
解説：
Explanation
Discrete data is a type of data that can only take certain values, usually whole numbers or integers. Discrete data can be counted, but not measured. For example, the number of students in a class, the number of books in a library, or the number of phone calls that a call center receives in a day are all examples of discrete data.
Discrete data is different from continuous data, which can take any value within a range, and can be measured with precision. For example, the height of a person, the weight of a fruit, or the temperature of a room are all examples of continuous data. Therefore, the correct answer is D. References: [Discrete vs Continuous Data:
Definition and Examples - Statistics How To], [Discrete Data - Definition and Examples | Math Goodies]
質問 # 179
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 integrity
- B. Data accuracy
- C. Data completeness
- D. Data duplication
正解：A
解説：
Data integrity is the dimension that measures the consistency and validity of data across different data sources. In this case, the data analyst wants to create one column that contains the customers' birth dates, but the data is stored in different formats and locations in the sample schema. For example, some customers have their birth dates in the customer table, while others have their birth years in the sales table. To compile the data into one column, the data analyst needs to ensure that the data is consistent and valid across the tables.
Therefore, data integrity is the best explanation for the reason for compilation. References: Data Quality Dimensions - DATAVERSITY, The 6 Data Quality Dimensions with Examples | Collibra
質問 # 180
The number of phone calls that call center receives in a day is an example of:
- A. continuous data.
- B. ordinal data.
- C. discrete data.
- D. categorical data.
正解：C
質問 # 181
Refer to the exhibit.
Which of the following logical statements results in Table B?
- A.
- B.
- C.
- D.
正解：D
解説：
The logical statement that results in Table B is Option D. Option D is a logical statement that uses the AND operator to combine two conditions: Name = "Tom" and Region = "BC". The AND operator returns true only if both conditions are true, otherwise it returns false. Therefore, Option D will select only the rows from Table A that satisfy both conditions, which are rows 4, 5, 6, and 7. These rows form Table B, as shown below:
Name | Gender flag | Level | College | Code | Region Tom | Male | Elementary | A | BC | BC Kim | Female | Elementary | A | BC | BC Pat | Female | Elementary | A | BC | BC Ben | Male | Elementary | A | BC | BC The other options are not correct, as they use different logical operators or conditions that do not result in Table B. Option A uses the OR operator, which returns true if either condition is true, or both. Option A will select all the rows from Table A except row 3, which does not match either condition. Option B uses the NOT operator, which returns the opposite of the condition. Option B will select all the rows from Table A except rows 4, 5, 6, and 7, which match the condition. Option C uses a different condition, Region = "ON", which does not match any row in Table A. Option C will select no rows from Table A. Reference: [SQL Logical Operators - W3Schools]
質問 # 182
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