Certification A00-215 Test Answers & A00-215 Original Questions

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The A00-215 exam comprises 50-55 multiple-choice and short-answer questions that need to be answered within a time frame of 110 minutes. Candidates are required to possess a fundamental working knowledge of the SAS programming language along with an understanding of data organization, management, and exploration. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification offers a great opportunity to establish oneself as a SAS programming professional and promotes career growth opportunities. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification validates candidate's knowledge and expertise in SAS such as troubleshooting SAS code, data manipulation, and transforming data to meet the programming requirements.

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A00-215 Original Questions - Question A00-215 Explanations

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q387-Q392):

NEW QUESTION # 387
You are tasked with analyzing a dataset where the date variable 'TransactionDate' is stored as a numeric value representing the number of days since January 1, 1960. You need to display the date in the format 'MMDDYYI 0.' Which SAS code snippet accomplishes this task correctly?

Answer: E

Explanation:
The correct answer is ''E''. To format a SAS date value, you need to use the 'input' function to convert the numeric value to a SAS date and then apply the desired format using the 'format' statement. Option E uses the ' input' function with the 'DATE9.' format to convert the numeric value to a SAS date and then applies the 'MMDDYYIO.S format to display the date in the desired format. Option A would only apply the format to the variable but would not convert the numeric value to a date. Option B tries to use the 'put' function, which is used to convert a SAS date to a character string, but does not convert the numeric value to a date first. Option C uses the 'date' function, which expects a string representation of the date and does not work with numeric date values. Option D uses the 'input' function but with the wrong format, which would result in an incorrect date conversion.

NEW QUESTION # 388
Consider a dataset 'SURVEY' with a variable 'SATISFACTION' that captures customer satisfaction levels. You are tasked with generating a frequency report for 'SATISFACTION' but need to suppress both cumulative frequencies and percentages. Additionally, you want to calculate the percentage of customers in each satisfaction level category relative to the total number of responses. Which PROC FREQ statement achieves this requirement?

Answer: E

Explanation:
The correct answer is A. The 'NOCIJM' and 'NOPERCENT options in the 'TABLES statement suppress the display of cumulative frequencies and percentages, respectively The 'OUTPCT option calculates the percentage of observations in each category relative to the total number of observations, which is what you need to show the percentage of customers in each satisfaction level category The other options would not provide the desired output.

NEW QUESTION # 389
Given the display of the CITIES data set:

Which program creates the PROC PRINT report below?

A. proc print data-cities label noobs;
label Name='Employee Name'
City=' Birth City' ;
run;
B. proc print data=cities ;
Name=' Employee Name' ;
City='Birth City';
run;
C. options noobs labels;
proc print data=cities;
display Name=' Employee Name*
city='Birth City',
run;
D. proc print data=cities showlabelse;
label Name= ' Employee Name
City =Birth City

Answer: A

Explanation:
The PROC PRINT statement is used for printing SAS datasets. To customize the column headers in the report, you use the label statement within the PROC PRINT procedure to assign new labels to variables, and the label option in the PROC PRINT to activate these labels. The noobs option suppresses the printing of observation numbers in the report.
Option B has the correct syntax for what is being requested:
* proc print data=cities label noobs; specifies the dataset to print with the label option to display variable labels and noobs to hide the observation numbers.
* label Name='Employee Name' City='Birth City'; assigns the label 'Employee Name' to the 'Name' variable and 'Birth City' to the 'City' variable.
* run; signifies the end of the PROC PRINT procedure.
Options A, C, and D are incorrect due to syntax errors:
* A uses an incorrect option showlabelse instead of label and noobs.
* C is incorrect because it lacks the label option in the proc print statement which is necessary to actually display the labels, and the labels are being incorrectly used within the proc print instead of in a label statement.
* D has several issues: there is no display statement in SAS, the option noobs should be outside of the proc print statement, and the labels should be defined in a label statement, not within proc print.
References:
* SAS 9.4 documentation for the PROC PRINT statement: SAS Help Center: PROC PRINT

NEW QUESTION # 390
Which PROC PRINT statement controls the order of the variables displayed in the report?

A. DROP
B. SELECT
C. VAR
D. KEEP

Answer: C

Explanation:
In PROC PRINT, the VAR statement is used to control the order of the variables displayed in the report. You can list the variables in the order you want them to appear. The KEEP statement can control which variables appear, but not their order. DROP and SELECT are not valid statements within PROC PRINT for controlling the order of variables.
References
* SAS documentation for PROC PRINT.

NEW QUESTION # 391
You have a dataset 'Sales' with variables 'Region', 'Product', 'SalesAmount', and 'Quantity'. You need to generate a report that summarizes the average 'SalesAmount' by 'Region' and 'Product' while also calculating the total quantity sold for each product across all regions. How would you modify the PROC MEANS statement to achieve this? Assume you want to generate a separate line in the output for each unique combination of 'Region' and 'Product'.

Answer: C

Explanation:
The correct answer is option E The PROC MEANS statement needs to include both 'Region' and 'Product' in the CLASS statement to generate a separate line for each combinatiom Using 'VAR SalesAmount' calculates the mean of 'SalesAmount'. The OUTPUT statement with 'SUMQTY=SUM(Quantity) I ALL' calculates the total 'Quantity' across all regions for each product Option A incorrectly calculates the sum of 'Quantity' for each combination of 'Region' and 'Product, while option B only calculates the mean and sum by 'Region'- Option C calculates the total 'Quantity' for each 'Region' and 'Product' combination, not across all regions. Option D calculates the mean and sum for 'SalesAmount' and 'Quantity' by 'Product, ignoring 'Region'.

NEW QUESTION # 392
......

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Certification A00-215 Test Answers & A00-215 Original Questions

A00-215 Original Questions - Question A00-215 Explanations

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