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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q321-Q326):

NEW QUESTION # 321
You are analyzing survey data where respondents were asked to rate their satisfaction with a product on a scale of 1 to 5. You want to create a two-way table that shows the frequency distribution of satisfaction ratings by gender. You also want to include the row percentages for each satisfaction rating within each gender category. Which of the following PROC FREQ statements would achieve this?

Answer: B

Explanation:
The correct code is: 'PROC FREQ DATA=Survey; TABLE Gendersatisfaction / CROSSLIST ROWPCT; RUN;' The "CROSSLIST option ensures the table is displayed with Gender as rows and Satisfaction as columns- The 'ROWPCT option calculates and displays row percentages within each gender category, providing a more meaningful analysis of satisfaction ratings across different genders.

NEW QUESTION # 322
Which PROC IMPORT step correctly creates the MYDATA,SALES data set from the SALES.SCV file?

A. proc import data=mydata.sales dbms=csv
out=mydata.sales;
run;
B. proc import datafile=sales.csv dbms=csv
out="mydata.sales";
run;
C. proc import data="mydata. sales" dbms=csv
out="mydata.sales";
run;
D. proc import datafile="sales.csv" dbms=csv
out=mydata. sales;
run;

Answer: D

Explanation:
The correct statement to import a CSV file into SAS and create a dataset is option B. The PROC IMPORT statement is used in SAS to read data from external files and create a SAS data set. Let's break down why option B is correct:
* datafile= specifies the location and filename of the external data file. In this case, "sales.csv" is the correct filename and format for a CSV file.
* dbms=csv tells SAS that the format of the external data file is CSV (comma-separated values).
* out=mydata.sales; specifies the name of the output SAS dataset. It consists of two parts: the libref mydata and the dataset name sales. This tells SAS to store the new dataset in a library called mydata
* with the dataset name sales.
Option A uses an incorrect syntax as it incorrectly specifies the data= option, which is not valid in this context. Also, the out= option is incorrectly quoted and terminated with a semicolon within the quotes.
Option C has a typo in the out= option (out=mydata.gales;), which incorrectly specifies the output dataset name. Additionally, it incorrectly specifies the data= option, which should actually be datafile=.
Option D has incorrectly quoted the out= option and uses a hyphen instead of an equals sign. Additionally, it does not use quotes around the filename, which may cause issues if the filename contains special characters or spaces.
References:SAS 9.4 documentation, specifically the PROC IMPORT statement: SAS Help Center: PROC IMPORT Statement

NEW QUESTION # 323
You have a dataset called 'INVENTORY' with variables 'ITEM ID', 'QUANTITY ON HAND', and 'COST PER ITEM'. You want to calculate the total value of inventory for each item ID, but only if the quantity on hand is greater than 50. Which SAS code snippet would accomplish this?

Answer: A,D

Explanation:
Both options C and E are correct Option C utilizes PROC MEANS with the SUM function to calculate the total value for each ITEM_ID, filtering for quantities greater than 50. Option E uses PROC SQL with the SUM function and GROUP BY to achieve the same result. Option A incorrectly uses the assignment operator to calculate the total value without considering the grouping. Option B uses SUM incorrectly in the data step, as SUM is used for calculating the sum of multiple observations. Option D incorrectly calculates the mean instead of the sum. The question emphasizes the practical application of calculating total inventory value, highlighting the importance of understanding both PROC MEANS and PROC SQL.

NEW QUESTION # 324
You are working with a large Excel spreadsheet containing sensitive customer dat a. You need to import this data into SAS for analysis while ensuring data security and preventing accidental modifications. Which of the following options correctly utilizes the LIBNAME statement and XLSX engine to achieve this objective?

A. LIBNAME custdata XLSX READONLY=TRIJE,
B. LIBNAME custdata XLSX ACCESS-READONLY;
C. LIBNAME custdata XLSX ACCESS=READWRITE
D. LIBNAME custdata XLSX ENCRYPTION-AES256.
E. LIBNAME custdata 'C:Customers.xlsx' XLSX PASSWORD-'MySecretPassword';

Answer: B

Explanation:
The 'ACCESS=READONLY option ensures that the Excel file is opened in read-only mode, preventing any accidental modifications to the original spreadsheet. This is crucial for data security and integrity. Options B, C, and D are incorrect because they do not offer the appropriate security features to prevent accidental modifications. The XLSX engine does not currently support password protection or encryption directly. Option E is incorrect because it is not a valid option for the XLSX engine.

NEW QUESTION # 325
You need to generate a summary report with the mean, standard deviation, and minimum values for variables 'age' and 'salary' from the 'employees' dataset. The report should display the mean and standard deviation values rounded to two decimal places, while the minimum values should be displayed as integers. Which PROC MEANS statement accomplishes this task?

Answer: C

Explanation:
The correct answer is option C. The MAXDEC= option within PROC MEANS controls the number of decimal places displayed for statistics. By specifying MAXDEC=(age=2, salary=2), we set the decimal places to two for variables 'age' and 'salary'. This will round the mean and standard deviation values to two decimal places. The MIN function in the output statement will truncate the minimum values to integers, effectively removing decimal places Options A and B apply the MAXDEC option to all variables, which doesn't meet the requirement of displaying integer minimum values- Option D uses the wrong format in the output statement for minimum values. Option E tries to use FORMAT to control the output format but does not specify the format for the minimum values. Option C is the only option that correctly implements both the MAXDEC= option and the MIN function to achieve the desired formatting.

NEW QUESTION # 326
......

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