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NEW QUESTION # 48
A financial institution is reporting on sales performance to a company at the account level. Due to the sensitive nature of the government the does il with, some account information is not shown. Which of the following fields should be masked?
- A. Sales volume
- B. Start date
- C. Product name
- D. Customer name
Answer: D
Explanation:
Customer name is the field that should be masked, because it contains sensitive information that could identify the government accounts that the financial institution deals with. Masking is a technique that replaces or obscures sensitive data with dummy or random data, such as asterisks or hashes. Masking can help protect the privacy and security of the data, while still allowing for some analysis and reporting. Therefore, the correct answer is D. References: [Data Masking | Definition, Techniques & Examples - Talend], [Data masking - Wikipedia]
NEW QUESTION # 49
Which of the following would be used to store unstructured data from different sources?
- A. A data lake
- B. A data warehouse
- C. A database management system
- D. A database
Answer: A
Explanation:
Explanation
This is because a data lake is a type of storage system that stores unstructured data from different sources, such as text, images, audio, video, etc. A data lake can be used to store unstructured data from different sources by using a schema-on-read approach, which means that it does not impose any structure or format on the data when it is stored, but rather applies it when it is read or accessed. A data lake can also be used to store unstructured data from different sources by using a distributed file system, such as Hadoop, which means that it can store large volumes and varieties of data across multiple servers or nodes. The other storage systems are not used to store unstructured data from different sources. Here is why:
A database management system is a type of software application that manages and controls databases, which are collections of structured or semi-structured data that are organized into tables, rows, and columns. A database management system is not used to store unstructured data from different sources, but rather to store structured or semi-structured data from specific sources by using a schema-on-write approach, which means that it imposes a structure or format on the data when it is stored, and requires it to follow certain rules and constraints, such as primary keys, foreign keys, or referential integrity.
A database is a type of storage system that stores structured or semi-structured data that are organized into tables, rows, and columns. A database is not used to store unstructured data from different sources, but rather to store structured or semi-structured data from specific sources by using a relational model, which means that it establishes and maintains relationships between different tables based on common columns or keys. A database can also be used to store structured or semi-structured data from specific sources by using a query language, such as SQL, which means that it can access and manipulate the data using statements or commands.
A data warehouse is a type of storage system that stores structured or semi-structured data that are integrated and aggregated from different sources or systems, such as databases, cloud services, or web applications. A data warehouse is not used to store unstructured data from different sources, but rather to store structured or semi-structured data from various sources by using an ETL process, which means that it extracts, transforms, and loads the data into a common format, structure, or schema. A data warehouse can also be used to store structured or semi-structured data from various sources by using an OLAP model, which means that it supports online analytical processing of the data using multidimensional cubes or queries.
NEW QUESTION # 50
Which of the following should be accomplished NEXT after understanding a business requirement for a data analysis report?
- A. Rephrase the business requirement.
- B. Build a mock dashboard/presentation layout.
- C. Perform exploratory data analysis.
- D. Determine the data necessary for the analysis
Answer: C
NEW QUESTION # 51
An analyst has been tracking company intranet usage and has been asked to create a chat to show the most-used/most-clicked portions of a homepage that contains more than 30 links. Which of the following visualizations would BEST illustrate this information?
- A. Infographic
- B. Pie chart
- C. Heat map
- D. Scatter plot
Answer: C
Explanation:
This is because a heat map is a visualization that uses colors to represent different values or intensities of a variable. A heat map can be used to show the most-used/most-clicked portions of a homepage that contains more than 30 links by assigning different colors to each link based on how frequently they are clicked by the users. For example, a link that is clicked very often can be colored red, while a link that is clicked rarely can be colored blue. A heat map can help the analyst to identify which links are more popular or important than others on the homepage. The other visualizations are not as effective as a heat map for this purpose. Here is why:
A scatter plot is a visualization that uses dots or points to represent the relationship between two variables. A scatter plot cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a clear way of mapping each link to a point on the graph.
A pie chart is a visualization that uses slices or sectors to represent the proportion of each category in a whole. A pie chart cannot show the most-used/most-clicked portions of a homepage that contains more than 30 links because it does not have enough space to display all the categories clearly and accurately.
An infographic is a visualization that uses images, icons, charts, and text to convey information or tell a story. An infographic cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a consistent or standardized way of representing each link and its click frequency.
NEW QUESTION # 52
Which of the following concepts should be applied if a data set with 40 fields needs to be pared down to 20 fields and contains similar data across multiple fields?
- A. Compliance
- B. Standardization
- C. Consolidation
- D. Duplication
Answer: C
Explanation:
Consolidation is the process of combining multiple elements into a single, more effective or coherent whole. In the context of data analytics, consolidation would involve merging similar fields to reduce the overall number of fields in a dataset. This is particularly useful when a dataset contains redundant or similar data across multiple fields, as it helps to simplify the data structure and improve efficiency. Techniques such as dimensionality reduction are often applied to achieve this, where the goal is to retain the most informative and representative features of the data while reducing the number of total features.
Reference:
Applied Dimensionality Reduction - 3 Techniques using Python1.
Seven Techniques for Data Dimensionality Reduction2.
Best practices when working with datasets3.
Effectively Handling Large Datasets4.
NEW QUESTION # 53
An analyst must obtain the average daily sales for the following week:
Which of the following must the analyst perform to obtain this value?
- A. Data aggregation
- B. Data normalization
- C. Data append
- D. Data blending
Answer: A
Explanation:
Data aggregation is the process of compiling data from multiple sources and summarizing it into a single dataset. Data aggregation can be used to calculate statistics, such as averages, sums, counts, or percentages. In this case, the analyst must obtain the average daily sales for the following week, which is a statistic that can be calculated by aggregating the sales data from each day and dividing by the number of days. Data aggregation can be done using various tools and methods, such as spreadsheets, databases, or programming languages.
NEW QUESTION # 54
James wants to analyze profit based on sales of five different product categories.
His source data set consists of 5.8 million rows with columns including region, product category, product name, and sales price.
How should he manipulate the data to facilitate his analysis?
Choose the best answer.
- A. Transpose by sales price and summarize.
- B. Transpose by product name and summarize.
- C. Transpose by product category and summarize.
- D. Transpose by region and summarize.
Answer: C
Explanation:
Correct answer B. Transpose by product category and summarize.
We can transpose this data by product category to perform this analysis broken out by product category.
Transposing by sales price, region, or product name will not further his state analytical goal.
NEW QUESTION # 55
A data analyst needs to collect a similar proportion of data from every state. Which of the following sampling methods would be the most appropriate?
- A. Stratified sampling
- B. Convenience sampling
- C. Systematic sampling
- D. Random sampling
Answer: A
Explanation:
Explanation
The best sampling method for the data analyst's need is C. Stratified sampling.
Stratified sampling is a type of probability sampling that involves dividing the population into homogeneous groups or strata based on some characteristic, such as state, and then randomly selecting a proportional number of individuals from each stratum. Stratified sampling ensures that every group is adequately represented in the sample, and reduces the sampling error and variability12 Systematic sampling is not correct, because it involves selecting every nth individual from the population, starting from a random point. Systematic sampling does not guarantee that every state will have a similar proportion of data in the sample, and may introduce bias or error if there is a hidden pattern or order in the population12 Convenience sampling is not correct, because it involves selecting individuals who are easily accessible or available to the researcher. Convenience sampling is a type of non-probability sampling that does not involve random selection, and may result in a biased or unrepresentative sample12 Random sampling is not correct, because it involves selecting individuals from the population at random, without any grouping or stratification. Random sampling may not produce a sample that has a similar proportion of data from every state, especially if the population is large or heterogeneous. Random sampling may also have a higher sampling error and variability than stratified sampling12
NEW QUESTION # 56
Which of the following data analysis tools increases the efficiency of data visualizations?
- A. RapidMiner
- B. SAS
- C. SQL
- D. Microsoft Excel
Answer: D
Explanation:
Comprehensive and Detailed In-Depth
Data visualization is a critical component of data analysis, enabling analysts to represent data graphically to identify patterns, trends, and insights effectively. The efficiency of creating and interpreting these visualizations depends on the tools used.
Option A:SQL
Rationale:Structured Query Language (SQL) is primarily used for managing and querying relational databases. While it is powerful for data extraction and manipulation, it lacks native capabilities for creating advanced data visualizations.
Option B:Microsoft Excel
Rationale:Microsoft Excel is a widely used spreadsheet application that offers robust data visualization features, including charts, graphs, and pivot tables. Its user-friendly interface allows analysts to quickly create and customize visual representations of data, thereby increasing the efficiency of data visualization tasks.
Reference:
comptia.org
Option C:SAS
Rationale:SAS (Statistical Analysis System) is a comprehensive software suite used for advanced analytics, multivariate analysis, business intelligence, and data management. While it has data visualization capabilities, it is more complex and may require specialized knowledge, which can affect efficiency for users not familiar with the platform.
Option D:RapidMiner
Rationale:RapidMiner is an open-source data science platform designed for machine learning, data preparation, and predictive analytics. Although it supports data visualization, its primary focus is on advanced analytics and model development, which may not be as intuitive for users seeking quick and efficient data visualization solutions.
NEW QUESTION # 57
An organization wants to evaluate whether project activities are within the set projections and in line to meet the desired project targets. Which of the following types of analysis is best suited for this situation?
- A. Trend analysis
- B. Performance analysis
- C. Exploratory analysis
- D. Descriptive analysis
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:
Performance analysisis used toassess whether activities, projects, or processes are meeting predefined goals. It compares actual performance against benchmarks or expectations.
* Option A (Trend analysis):Incorrect. Trend analysis looks at data over time to identify patterns or movements, but it does not measure progress against goals.
* Option B (Performance analysis):Correct.This type of analysis is specifically used toevaluate progress against projections and targets.
* Option C (Descriptive analysis):Incorrect. Descriptive analysis summarizes historical data but does not evaluate whether targets are being met.
* Option D (Exploratory analysis):Incorrect. Exploratory analysis is used todiscover patterns and anomaliesrather than to track progress against predefined objectives.
NEW QUESTION # 58
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. Line
- B. Waterfall
- C. Pie
- D. Histogram
- E. Scatter pot
Answer: C
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 # 59
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. A Q2 2020 and Q4 2019
- B. Q2 2020 and Q2 2021
- C. Q2 2020 and Q2 2019
- D. YTD 2020 and YTD 2019
Answer: C
NEW QUESTION # 60
A data analyst is compiling a report that a Chief Executive Officer needs for an impromptu meeting. The report should include information on the previous day's performance. Which of the following reports should the analyst provide?
- A. Ad hoc
- B. Tactical
- C. Dynamic
- D. Recurring
Answer: A
NEW QUESTION # 61
Data validation should occur only when data is initially brought into a organization.
- A. True.
- B. False.
Answer: B
NEW QUESTION # 62
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. OUTER JOIN, seven rows
- B. INNER JOIN, two rows
- C. RIGHT JOIN. five rows
- D. LEFT JOIN. four rows
Answer: D
Explanation:
Explanation
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.
NEW QUESTION # 63
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 more on average.
- B. People who do not receive electronic coupons spend more on average.
- C. People who receive electronic coupons do not spend more on average.
- D. People who receive electronic coupons spend less on average.
Answer: C
Explanation:
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.
NEW QUESTION # 64
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