A00-215 Valid Dumps Pdf | A00-215 Answers Free

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SASInstitute A00-215 Exam Tests a candidate’s proficiency across various domains, including data handling, programming logic, data manipulation, and data analysis, among others. A00-215 exam is comprised of 50-55 multiple choice and short-answer questions, which are designed to assess the candidate’s knowledge of SAS programming concepts, procedures, and techniques.

SASInstitute A00-215 certification exam is designed to test the fundamental knowledge and skills of a candidate in SAS programming. It is a globally recognized certification that validates the candidate's ability to write SAS programs, access and manage data, and perform basic programming tasks. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification exam is suitable for beginners who are interested in pursuing a career in SAS programming or data analysis.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q148-Q153):

NEW QUESTION # 148
Which ODS EXCEL statement correctly creates an Excel using the ANALYSIS style?

A. Ods excel=' c : report. xlsx' style=analysis;
B. Ods excel workbook=' report. xles' analysis;
C. Ods excel file ='c report.xlsx' styleanalysis;
D. Ods excel=' c : report. xlsx' / analysis;

Answer: A

Explanation:
The correct answer is A: Ods excel='c:report.xlsx' style=analysis;. This syntax is correct for the ODS EXCEL statement in SAS, where you specify the path and filename, followed by the 'style' option to apply a specific style template to the output Excel file. The 'style=analysis' is used to set the output appearance according to the
'ANALYSIS' style template provided by SAS. Option B is syntactically incorrect and does not use the 'style' option correctly. Option C incorrectly places a slash which is not syntactically valid in this context, and Option D misses the equals sign and quotes which are necessary for correct syntax in SAS.References:
* SAS documentation on ODS EXCEL statement: SAS Support: ODS EXCEL Statement

NEW QUESTION # 149
You have a dataset 'EmployeeData' with variables 'Department', 'JobTitle', and 'YearsOfExperience'. You want to create a two-way frequency table showing the distribution of 'JobTitle' across different 'Department's. You also want to use the 'CROSSLIST' option to control the layout, but you want to include only those employees with 'YearsOfExperience' greater than 5. Which PROC FREQ statements, along with the correct options, achieve this?

Answer: C

Explanation:
The correct answer is A. Similar to the previous question, the 'WHERE statement in PROC FREQ is used to filter the data based on a condition. 'WHERE YearsOfExperience>5' will only include observations where 'YearsOfExperience' is greater than 5. Option B is incorrect because 'IF' is not a valid statement for filtering in PROC FREQ Option C is incorrect because 'BY' is used for grouping and not filtering_ Option D is incorrect because it uses 'OUTPUT , which creates an output dataset, but does not affect the filtering. Option E is incorrect because it includes an additional filter for 'JobTitle' which is not part of the original requirement.

NEW QUESTION # 150
You have a dataset called 'sales' with sales data for different products. You want to calculate the mean, standard deviation, and median sales values for each product category, displaying the mean and standard deviation to three decimal places. The dataset has variables 'product_category', 'product_name', and 'sales_amount'. Which PROC MEANS statement correctly performs this task?

Answer: A

Explanation:
The correct answer is option A. The MAXDEC=3 option within the PROC MEANS statement specifies that all statistics, including the mean and standard deviation, should be displayed with three decimal places. The CLASS statement specifies 'product_category' as the grouping variable, and the VAR statement selects 'sales_amount' for analysis. The OUTPUT statement creates a new dataset called 'summary_report' containing the calculated statistics for each product category Option B tries to use a FORMAT statement to control the formatting of the output variables after the PROC MEANS step, which is not the most efficient approach. Option C uses the MAXDEC option with the variable name, but it is not necessary to specify the variable name since it's applying to all variables within the PROC MEANS step. Option D doesn't use the MAXDEC option, so the output will display the default number of decimal places. Option E uses 'product_name' in the CLASS statement, which is incorrect as the grouping should be by 'product_category' Only option A effectively uses the MAXDEC= option within PROC MEANS to achieve the desired output formatting for the mean and standard deviation while correctly grouping by 'product_category' and calculating the median.

NEW QUESTION # 151
Which two correctly create a SAS date value? (Choose two.)

A. "190ct2019"d
B. mdy (19, Oct, 2019)
C. mdy (10, 19, 2019)
D. "10/19/2019"d

Answer: A,D

Explanation:
To create SAS date values, the correct syntax involves specifying the date in a string format followed by the letter 'd'. This indicates to SAS that the string should be interpreted as a date value. Therefore, the correct answers are:
* A. "10/19/2019"d - This format directly specifies the month, day, and year, enclosed in quotes followed by 'd', which SAS correctly interprets as a date value.
* C. "19Oct2019"d - This format uses a three-letter abbreviation for the month combined with the day and year, also followed by 'd'. This is another valid way to specify a date in SAS.
Option B, mdy(10, 19, 2019), is incorrect because while the MDY function does create date values from month, day, and year components, the function itself should be used within a DATA step or another context where SAS functions are evaluated, and it doesn't directly create a date literal in the same way as options A and C.
Option D, mdy(19, Oct, 2019), is syntactically incorrect because the MDY function expects numeric arguments for the month, day, and year, and "Oct" as a literal month name is not a valid numeric argument.
References: SAS 9.4 Language Reference: Concepts.

NEW QUESTION # 152
You have a SAS data set 'SALES DATA' with a variable 'DATE' representing the sale date. You need to create a new data set 'SALES BY MONTH' that summarizes sales by month. You want to include only the observations from the 'SALES DATA' dataset where the 'DATE' variable falls between January 1st and March 31st of the current year. How would you achieve this, using the SET statement and the IN T NX function?

A. data SALES_BY MONTH; set SALES_DATA; if 'OlJAN2023'd and '31 MAR2023'd then output; run;
B. data set SALES_DATA; if = 'OlJAN2023'd then output; run;
C. data set SALES_DATA; if date 'OlJAN2023'd and date '31 MAR2023'd then output; run;
D. data SALES BY MONTH; set SALES_DATA; if 'OlJAN2023'd and '31 MAR2023'd then output; run;
E. data SALES BY MONTH; set SALES_DATA; if 'OlJAN2023'd and '31 MAR2023'd then output; run;

Answer: E

Explanation:
Option E correctly uses the INTNX function to filter sales data based on the month of the 'DATE' variable. The code uses to get the beginning of the month for each observation and compares it to '01 JAN2023'd and '31 MAR2023'd to filter the observations. Options A and B focus on specific dates rather than ranges, while Option C incorrectly compares the beginning of the month to a date range. Option D uses a 3-month difference instead of 2.

NEW QUESTION # 153
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A00-215 VALID DUMPS PDF | A00-215 ANSWERS FREE

A00-215 Valid Dumps Pdf | A00-215 Answers Free