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SASInstitute A00-215 Certification Exam is designed for individuals who want to validate their knowledge and skills in programming with SAS 9.4. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is ideal for beginners who are looking to build a career in data analytics and want to gain a strong foundation in SAS programming. A00-215 exam covers a variety of topics, including data manipulation, data analysis, and report generation using SAS programming language.
SASInstitute A00-215 exam covers a wide range of topics related to SAS programming, including data manipulation, reading and writing SAS data sets, SAS programming structure, SAS procedures, and SAS programming techniques. A00-215 exam is conducted online, and candidates are given two hours to complete it. A00-215 exam consists of 60 multiple-choice questions, and the passing score is 70%. A00-215 exam is available in multiple languages, including English, Japanese, and Chinese.
NEW QUESTION # 41
____ steps typically report, manage, or analyze data.
Enter your answer in the space above. Case is ignored.
Answer:
Explanation:
DATA
Explanation:
In SAS, the DATA step is a powerful tool that allows programmers to perform a variety of tasks such as reporting, managing, and analyzing data. The DATA step processes data one observation at a time, making it highly efficient for data manipulation tasks. It enables the creation of new datasets, modification of existing ones, and complex data transformations. Additionally, within a DATA step, you can use a wide range of programming statements and functions to calculate new variables, merge or sort datasets, and perform conditional processing. The flexibility and functionality provided by DATA steps make them a fundamental part of SAS programming for handling and preparing data for further analysis or reporting.References: SAS
9.4 Language Reference: Concepts.
NEW QUESTION # 42
Which ODS EXCEL statement correctly creates an Excel workbook using the ANALYSIS style?
- A. ods excel 'c:\report.xlsx' / analysis;
- B. ods excel='c: \report.xlsx' style=analysis;
- C. ods excel file='c:\report.xlsx' style=analysis;
- D. ods excel workbook='c:\report.xlsx' / analysis;
Answer: C
Explanation:
The correct syntax for creating an Excel workbook using the ODS (Output Delivery System) Excel destination with a specific style is provided by option D. The syntax is as follows: ods excel file='c:\report.xlsx' style=analysis;This statement instructs SAS to output the results of subsequent procedures to an Excel workbook located at c:\report.xlsx, applying the ANALYSIS style to the output. The file= option specifies the path and name of the Excel file to be created or overwritten, and the style= option indicates the style template to be used for the output. The ANALYSIS style is one of the predefined styles that can be applied to the output to control the appearance of tables and graphs. Other options like A) and B) are incorrect due to syntax errors and misplacement of keywords. Option C) has a typo in the file path and incorrect syntax usage.References:
SAS 9.4 Output Delivery System: User's Guide.
NEW QUESTION # 43
Which LIBNAME statement has the correct syntax for accessing SAS data sets?
- A. libname 'c:\sas\data'=mydata;
- B. libname 'c:\sas\data' mydata;
- C. libname mydata='c:\sas\data';
- D. libname mydata 'c:\sas\data';
Answer: A
NEW QUESTION # 44
Which statement is true regarding the XLSX engine in the LIBNAME statement?
- A. The XLSX engine can road and write data in Microsoft Excel workbooks.
- B. The XLSX engine can road Microsoft workbooks with both XLSX and XLS extensions
- C. The XLSX extension in the Microsoft Excel workbook name is optional in the LIBNAME statement
- D. The individual worksheets are automatically concatenated when reading a Microsoft Excel workbook.
Answer: A
Explanation:
The correct answer is B: The XLSX engine can read and write data in Microsoft Excel workbooks. This functionality allows SAS users to directly access and manipulate data stored in Excel files using the .xlsx extension. The XLSX engine does not automatically concatenate individual worksheets; instead, each worksheet is accessed separately. Also, it specifically works with files that have the .xlsx extension, not the older .xls format, thus eliminating option C. Option D is incorrect because the XLSX engine requires the correct file extension (.xlsx) in the LIBNAME statement to properly identify and interact with Excel files.
References:
* SAS documentation on LIBNAME statement for XLSX engine: SAS Support: LIBNAME Statement
NEW QUESTION # 45
Which statements read the input data set SASHELP. SHOES and create the output data set WORK. TOTAL?
- A. data out=work.total;
input sasholp.shoes - B. data sashalp.shoes;
out work.total; - C. data work.total;
set sashelp.shoes; - D. data sashelp.shoes;
output work.total;
Answer: C
Explanation:
Option C is correct. The set statement is used within a DATA step to read an existing SAS data set. In this case, set sashelp.shoes; reads the SASHELP.SHOES data set, and data work.total; specifies the creation of a new data set named TOTAL in the WORK library. The options A, B, and D are incorrect because they either use the wrong syntax or are not proper statements for reading an input data set and creating an output data set.
References:
* SAS 9.4 documentation on the DATA step.
NEW QUESTION # 46
Which step temporarily assign a format to the sales variable?
- A. Proc format;
Formatsales comma12.;
Run; - B. Proc contents data=sashelp.shoes;
Format Sales comma12.;
Run; - C. Proc print data= sashelp. Shoes
Format sales comma12.;
Run; - D. Data sasuer. Shoes
Set sashelp,sheoes;
Format sales comma12.;
Answer: C
NEW QUESTION # 47
Which iterative DO statement is invalid?
- A. Do reverse = 10 to 1 by -1;
- B. Do year = 2000 to 2016 by 2;
- C. Do 100 to 1200 by 100;
- D. Do num = 1.1 to 1.9 by 0.1;
Answer: C
Explanation:
In SAS, iterative DO statements are used to repeat a block of statements a specified number of times. These DO statements have a specific syntax that includes initializing a variable, setting an ending value, and specifying an increment (or decrement). The syntax generally follows the pattern: DO variable = start TO end BY increment; Let's evaluate each option provided:
A) Do 100 to 1200 by 100;This statement is syntactically incorrect because it lacks a variable to iterate over.
An iterative DO loop must specify a variable that will take on each value in the specified range. The correct form should be something like do i = 100 to 1200 by 100;.
B) Do num = 1.1 to 1.9 by 0.1;This statement is valid. It initializes the variable num at 1.1 and increments by
0.1 until it reaches 1.9. This is a typical use of the iterative DO loop for non-integer increments.
C) Do year = 2000 to 2016 by 2;This statement is also valid. It initializes year at 2000 and increments by 2, going through values like 2002, 2004, etc., up to and including 2016. This is a standard use for iterating over years or other sequentially numbered items.
D) Do reverse = 10 to 1 by -1;This statement is valid. It initializes reverse at 10 and decrements by 1 until it reaches 1. Using negative increments is a legitimate approach for counting downwards.
References
* SAS 9.4 Statements: Reference, "DO Statement."
* SAS Support: DO Loop Documentation
Understanding how to properly format DO loops in SAS is fundamental for effectively managing repetitive tasks in your data analysis. Mistakes like those seen in option A can lead to syntax errors, preventing your code from executing. Always ensure that your loops are correctly structured and that each component of the loop is clearly defined.
NEW QUESTION # 48
Which SAS format displays a SAS date as 25JUN2019?
- A. Date9.
- B. ddMMMyy9.
- C. Dmy9.
- D. Ddmmmyyyy9.
Answer: A
Explanation:
Option B is correct. The DATE9. format in SAS displays dates in the ddMMMyyyy format, which corresponds to the example given (25JUN2019). This format writes dates with a two-digit day, a three-character month abbreviation, and a four-digit year. The other options do not match the correct format:
* A is incorrect because ddMMMyy9. format would display a two-digit year.
* C is incorrect because there is no such format as Ddmmmyyyy9. in standard SAS formats.
* D is incorrect because Dmy9. does not correspond to the required format.
References:
* SAS 9.4 documentation on date and time formats.
NEW QUESTION # 49
Given the following DATA step:
What is the value of average?
Enter your numeric answer in the space above.
Answer:
Explanation:
4
Explanation:
In the DATA step provided, average is calculated using the mean function, which calculates the average of the non-missing values of the variables listed. The variables provided are:
* var1 = 2
* var2 = 4
* var3 = .
* var4 = 6
The mean function in SAS ignores missing values, represented by a period (.). Hence, the average is computed using the non-missing values (2, 4, and 6). The mean of these three numbers is calculated as: (2 + 4 + 6) / 3 =
12 / 3 = 4
Therefore, the value of average is 4.
References:
* SAS documentation on the MEAN function, SAS Institute.
NEW QUESTION # 50
When the following code is submitted, execution fails.
Why does the execution fail?
Multiple executable statements are not allowed in the DO block.
- A. There are two unclosed DO block.
- B. The OUTPUT statement is not allowed in the DO block.
- C. The conditional logic expressions fail for the DO block
Answer: B
NEW QUESTION # 51
Which statements read the input data set SASHELP. SHOES and create the output data set WORK. TOTAL?
- A. data out=work.total;
input sasholp.shoes - B. data sashelp.shoes;
output work.total; - C. data work.total;
set sashelp.shoes; - D. data sashalp.shoes;
out work.total;
Answer: D
NEW QUESTION # 52
Which PROC MEANS statements specifies variables to group the data before calculating statistics?
- A. VAR
- B. GROUP
- C. SUMBY
- D. CLASS
Answer: D
Explanation:
In the context of the PROC MEANS procedure in SAS, the CLASS statement is used to specify categorical variables whose unique values group the data before calculating statistics. This allows PROC MEANS to calculate statistics like the mean, sum, or standard deviation for each class or group of data defined by the CLASS variables.
The CLASS statement works as follows:
* class variable-list; specifies one or more variables to define groups for analysis.
* When used, PROC MEANS computes the requested statistics for each level of the variables listed, which can be very helpful for analyzing how groups compare across different statistics.
The other options are not used in the PROC MEANS procedure to specify grouping of data:
* B. GROUP is not a valid statement in PROC MEANS.
* C. SUMBY is not a valid statement in SAS.
* D. VAR is used in PROC MEANS to specify the analysis variables for which statistics are to be computed, not to group the data.
NEW QUESTION # 53
Which ODS EXCEL statement correctly creates an Excel using the ANALYSIS style?
- A. Ods excel=' c : \report. xlsx' / analysis;
- B. Ods excel workbook=' report. xles' analysis;
- C. Ods excel file ='c \report.xlsx' styleanalysis;
- D. Ods excel=' c : \report. xlsx' style=analysis;
Answer: A
NEW QUESTION # 54
Which two data sets are permanent?
- A. New
- B. Work.new
- C. Mylib.new
- D. Temp.new
Answer: B
NEW QUESTION # 55
Which ODS EXCEL statement correctly creates an Excel using the ANALYSIS style?
- A. Ods excel=' c : \report. xlsx' / analysis;
- B. Ods excel workbook=' report. xles' analysis;
- C. Ods excel file ='c \report.xlsx' styleanalysis;
- D. Ods excel=' c : \report. xlsx' style=analysis;
Answer: D
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 # 56
Given the partial report shown below:
Which step will produce this report?
- A. proc freq data=sashelp. shoes order=freq;
tables region*product / list;
run; - B. proc freq data=sashelp. shoes order=freq;
tables region product / crosslist;
run; - C. proc freq data=sashelp. shoes;
tables region product / list;
run; - D. proc freq data=sashelp. shoes;
tables region*product / crosslist;
run;
Answer: D
Explanation:
The report shown is a cross-tabulation of 'Region' by 'Product'. The FREQ Procedure indicates that PROC FREQ has been used, and the presence of 'Frequency', 'Percent', 'Row Percent', and 'Column Percent' suggests that a cross tabulation (or contingency table) has been requested. The correct code for this output would include the tables statement to specify the two variables ('Region' and 'Product') with an asterisk between them, which indicates a request for a cross-tabulation of these two categorical variables, and the crosslist option to display the table in a cross-tabulated list format. Therefore, option D is the correct answer:
proc freq data=sashelp.shoes;
tables region*product / crosslist;
run;
Options A and C use the order=freq option incorrectly, as this option would order the table by frequency counts rather than providing a cross-tabulation. Option B is missing the crosslist option needed to produce the cross-tabulated format.
NEW QUESTION # 57
Which PROC MEANS statements specifies variables to group the data before calculating statistics?
- A. VAR
- B. GROUP
- C. SUMBY
- D. CLASS
Answer: D
NEW QUESTION # 58
Which two data sets are permanent?
- A. Work.new
- B. New
- C. Mylib.new
- D. Temp.new
Answer: C,D
Explanation:
In SAS, datasets can be either temporary or permanent, depending on the library where they are stored.
Temporary datasets are stored in the Work library and are deleted at the end of the session, while permanent datasets reside in user-defined libraries or in libraries that refer to a more persistent storage location.
For this question:
* B. Mylib.new: This is a permanent dataset. The prefix 'Mylib' suggests it is stored in a user-defined library (not the temporary 'Work' library), implying that the data persists beyond the current session unless explicitly deleted or if the library's link to the storage location is removed.
* D. Temp.new: Despite the potentially misleading name 'Temp', if this dataset is not explicitly stored in the Work library, it could indeed be permanent. The permanence of a dataset is determined by its library reference, not by its name. If 'Temp' is a user-defined library linked to a persistent storage, then
'Temp.new' is also permanent.
C: Work.new: This dataset is explicitly temporary as it is stored in the Work library, which is cleared at the end of the SAS session.
A: New: Without additional context about the library, 'New' does not provide enough information to determine its permanence. It could be either temporary or permanent depending on the library it references.
References:SAS documentation on libraries and dataset management, SAS Institute.
NEW QUESTION # 59
Which variable in the Program Data Vector represents the number of times the Data step has iterated?
- A. _N_
- B. N
- C. _Obs_
- D. Obs
Answer: A
Explanation:
Explanation
https://v8doc.sas.com/sashtml/lrcon/z0961108.htm
NEW QUESTION # 60
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The SASInstitute A00-215 exam is designed to test the candidate's knowledge in several areas, including data input and manipulation, SAS programming fundamentals, SAS data structures, debugging techniques, and SAS output. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is an excellent way for individuals to demonstrate their SAS programming skills and showcase their expertise in the field.
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