[Jun-2024] SASInstitute Certification A00-215 Exam Practice Dumps
2024 A00-215 Premium Files Test pdf - Free Dumps Collection
SASInstitute A00-215 certification is recognized globally and is highly valued by employers in the data analytics industry. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification demonstrates that the candidate has a solid foundation in SAS programming and is capable of writing efficient and effective SAS programs for data analysis and management. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification not only enhances the candidate's skills but also provides a competitive advantage in the job market.
NEW QUESTION # 42
The sashelp. class data set has 19 observations.
Given the frequency information about the Age, shown below:
How many observations are written to output data set when the following code is submitted?
- A. preteen will have 7 observations and teen will have 19 observations
- B. preteen will have 7 observations and teen will have 12 observations
- C. preteen will have 10 observations and teen will have 9 observations
- D. preteen will have 26 observations and teen will have 31 observations
Answer: D
NEW QUESTION # 43
What step has correct syntax for the CONTENTS procedure?
- A. Proc contents lib=sashelp data=shoes;
Run; - B. Proc contents file=sashelp .shoes;
Run; - C. Proc contents sashelp. Shoes;
run; - D. Proc contents data=sashelp.shoes;
Run;
Answer: D
Explanation:
The correct syntax for the CONTENTS procedure is to specify the dataset to be described using the data= option. The dataset should be identified by its library and name, separated by a period. The correct syntax is therefore Proc contents data=library.dataset;, which makes Option C the correct answer: Proc contents data=sashelp.shoes;. This statement will produce the contents of the dataset 'shoes' in the 'sashelp' library.
References:
* SAS documentation on the CONTENTS procedure, SAS Institute.
NEW QUESTION # 44
What type of error does NOT produce the expected results and does NOT generate errors or warnings in the log?
- A. Data error
- B. Special error
- C. Logic error
- D. Syntax error
Answer: C
NEW QUESTION # 45
Which ODS EXCEL statement correctly creates an Excel using the ANALYSIS style?
- A. Ods excel file ='c \report.xlsx' styleanalysis;
- B. Ods excel workbook=' report. xles' analysis;
- C. Ods excel=' c : \report. xlsx' / analysis;
- 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 # 46
Given the input data set WORK.RUN:
Given the following DATA step:
What is the correct output data set WORK.RUN2?
- A.
- B.
- C.
- D.
Answer: B
Explanation:
In the given DATA step, the do weeks=1 to 3; loop iterates three times for each row in the original WORK.RUN dataset, incrementing the miles value by 5 for each iteration and outputting a row after each increment. However, no output; statement is given within the loop to create the extra rows, which means only the last iteration of the loop will be outputted for each original row. Hence, the miles value for each name will be incremented by 15 (5 miles for each of the 3 weeks).
The original data set WORK.RUN has:
John 16
Mary 20
After the DATA step, it should be:
John 31
Mary 35
Each name appears only once because without an explicit output; statement inside the loop, only the final iteration is outputted. The variable weeks is not retained in the output dataset, as it is not used outside the loop and no output statement is used inside the loop. Thus, option D is correct.
References:
* SAS documentation on DATA step processing, SAS Institute.
NEW QUESTION # 47
The following program is summited:
The following report is created:
However, the desired report is shown below:
What change is needed to display the desired formatted values for the Answer varia
- A. Change the unformatted values on the VALUE statement to upper case letters
- B. Remove the comma located on the VALUE statement
- C. Add a period to the end of the format name on the VALUE statement.
- D. Remove the dollar sign located at the front of the format name
Answer: C
Explanation:
When defining custom formats in SAS, it's important to adhere to the correct syntax, which includes ending format names with a period. In the submitted program, the format $convert is defined without a period at the end of the format name in the VALUE statement. This is likely causing an error since format names in the VALUE statement should always end with a period. Option C correctly identifies that adding a period to the end of the format name on the VALUE statement will allow SAS to properly recognize and apply the custom format to the Answer variable when the PROC PRINT step is executed.
The program provided in the question seems to have formatting errors, but based on the information provided, the suggested change is to add a period to make it $convert. which would correctly apply the format.
The other options would not resolve the issue of applying the custom format:
* A. Changing the case of the unformatted values will not help if the format is not correctly specified.
* B. The comma does not seem to be the issue based on the context given.
* D. The dollar sign is correct and necessary for character formats; removing it would cause the format to be invalid for character data.
References:
* SAS 9.4 documentation for the FORMAT procedure: SAS Help Center: PROC FORMAT
NEW QUESTION # 48
Which line contains a syntax error?
- A. Line 2
- B. Line 5
- C. Line 3
- D. Line 1
Answer: C
Explanation:
In the provided code snippet, Line 3 contains a syntax error. The keep statement is used incorrectly here; the correct keyword to use is where in order to filter the dataset. The correct line should be something like:
where Make = 'Honda';
So, the keep statement on Line 3 is not properly used, and also there appears to be a missing quotation mark at the end of 'Honda' which should be closed before the semicolon.
References:
* SAS documentation for the where statement.
NEW QUESTION # 49
Which PROC MEANS statements specifies variables to group the data before calculating statistics?
- A. CLASS
- B. SUMBY
- C. VAR
- D. GROUP
Answer: A
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 # 50
Which PROC PRINT option displays variable labels in the report?
- A. SHOWLABELS
- B. LABEL
- C. LABELS=
- D. COLS
Answer: B
Explanation:
In the PROC PRINT statement, the LABEL option is used to display variable labels in the report. If the variables in the dataset have labels associated with them, the LABEL option will ensure that these labels are used in the output instead of the variable names.
Here's how the LABEL option is used:
* proc print data=sashelp.class label; (assuming sashelp.class is the dataset in question)
* The LABEL keyword after the dataset name within the PROC PRINT call activates the use of variable labels in the output report.
The other options provided are incorrect for the following reasons:
* SHOWLABELS is not a valid SAS option.
* COLS does not exist as a PROC PRINT option in SAS.
* LABELS= is not a correct syntax for any SAS procedure.
References:
* SAS 9.4 documentation for the PROC PRINT statement with LABEL option: [SAS Help Center: PROC PRINT]
NEW QUESTION # 51
Which PROC PRINT statement controls the order of the variables displayed in the report?
- A. VAR
- B. SELECT
- C. DROP
- D. KEEP
Answer: A
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 # 52
What step has correct syntax for the CONTENTS procedure?
- A. Proc contents lib=sashelp data=shoes;
Run; - B. Proc contents sashelp. Shoes;
run; - C. Proc contents file=sashelp .shoes;
Run; - D. Proc contents data=sashelp.shoes;
Run;
Answer: B
NEW QUESTION # 53
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 individual worksheets are automatically concatenated when reading a Microsoft Excel workbook.
- C. The XLSX extension in the Microsoft Excel workbook name is optional in the LIBNAME statement
- D. The XLSX engine can road Microsoft workbooks with both XLSX and XLS extensions
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 # 54
The data set SASHELP. CARS contains information on different vehicles. How do you correctly write the observations with Type of 'SUV' to the suv data set and Type of 'Sedan' to the sedans data set?
- A. data=SUV data=Sedans;
set sashelp.cars;
if Type = 'SUV' then output SUV;
else if Type = 'Sedan' then output Sedans;
run; - B. data= (SUV Sedans) ;
set sashelp.cars;
if Type = 'SUV' then output SUV;
else if Type = 'Sedan' then output Sedans;
run; - C. data SUV Sedans;
set sashelp.cars;
if Type = 'SUV' then output SUV;
else if Type = 'Sedan' then output Sedans;
run; - D. data SUV;
data Sedans;
set sashelp.cars;
if Type = SUV then output SUV;
else if Type = Sedan then output Sedans;
run;
Answer: C
Explanation:
The correct syntax for creating two separate data sets based on a condition in SAS involves using a single DATA step with multiple data set names followed by a SET statement and conditional OUTPUT statements.
Here's a breakdown of why option B is the correct answer:
data SUV Sedans;
set sashelp.cars;
if Type = 'SUV' then output SUV;
else if Type = 'Sedan' then output Sedans;
run;
* This option correctly uses a single DATA step to declare two data sets (SUV and Sedans). It reads from the sashelp.cars data set and uses conditional statements to output observations to the respective data sets based on the value of the Type variable. The output statement is used to explicitly direct observations to the specified data set.
* Option A: The syntax data=SUV data=Sedans; is incorrect. The correct syntax to create multiple data sets in a DATA step does not include equal signs (=).
* Option C: The syntax within the conditional statements is incorrect (if Type = SUV and if Type = Sedan). The values for Type should be enclosed in quotes to specify that they are strings.
* Option D: The syntax data= (SUV Sedans) ; is incorrect. The correct method to declare multiple data sets in a DATA step does not use parentheses or an equal sign.
References:The correctness of option B is based on standard SAS programming practices for conditional data manipulation within a DATA step. This approach is commonly documented in SAS programming resources such as the SAS 9.4 documentation and various SAS programming guides. The use of the output statement for directing data to specific datasets based on conditions is a fundamental technique in efficient data handling in SAS.
NEW QUESTION # 55
When the following code is submitted, execution fails.
Why does the execution fail?
- 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
- D. Multiple executable statements are not allowed in the DO block.
Answer: A
NEW QUESTION # 56
What type of error does NOT produce the expected results and does NOT generate errors or warnings in the log?
- A. Data error
- B. Special error
- C. Logic error
- D. Syntax error
Answer: C
Explanation:
The type of error that does not produce expected results and does not generate errors or warnings in the log is a logic error. Logic errors occur when there is a flaw in the program's logic, which causes it to operate incorrectly, but the syntax is correct so it does not produce any error or warning messages. Unlike syntax errors which are mistakes in the program's code that prevent it from compiling or running, logic errors are more insidious because the program still runs but yields incorrect results. For example, a programmer may accidentally code an incorrect formula or use a wrong variable name that still exists, so the program runs but produces incorrect output.
References:
* SAS documentation on error types.
NEW QUESTION # 57
Which assignment statement uses the SUBSTR function to extract the four-digit year from the value of date?
data days;
date="02Apr2019";
insert-statement-here
run;
- A. year=substr (date, 6, 4) ;
O D) year=substr (date, 4, 7) ; - B. year=substr (date, 7, 4) ;
- C. year=substr (date, 4, 6) ;
Answer: B
Explanation:
In SAS, the SUBSTR function is used to extract a substring from a character string. The function syntax is SUBSTR(string, position, length), where:
* string is the variable or string literal you want to extract the substring from.
* position is the starting position of the substring within string.
* position starts counting at 1 in SAS, not 0 as in some other languages.
* length is the number of characters to extract.
For the value of date provided ("02Apr2019"), we want to extract the year, which is the four characters at the end of the string.
Here's how each option would work given the string:
A) year=substr(date, 7, 4);This starts at the 7th character of the string ("2019") and extracts 4 characters, which correctly represents the year.
B) year=substr(date, 4, 6);This starts at the 4th character ("Apr2019") and would extract 6 characters, which gives us "Apr201", not just the year.
C) year=substr(date, 6, 4);This starts at the 6th character ("r2019") and would extract 4 characters, resulting in "r201", which is not correct.
D) year=substr(date, 4, 7);This starts at the 4th character and would extract 7 characters, resulting in " Apr2019", which is the whole string from the 4th character to the end, not just the year.
The correct answer is A, as it extracts the four-digit year from the end of the string.
References:
* The SAS documentation on the SUBSTR function, which details how to use it for extracting parts of strings.
* SAS programming tutorials that often provide examples of common functions like SUBSTR for string manipulation
NEW QUESTION # 58
Which program correctly subnets the SASHELP. BASEBALL data set to include only the players in the East Division with 75 or more hits?
- A. data bball;
set sashelp.baseball;
where Division = 'East' and nHits >= 75;
run; - B. data bball;
set sashelp.baseball;
where Division - 'East' or nHits >= 75;
run; - C. data bball;
set sashelp.baseball;
where Division and nHits in ('East' and 75+);
run; - D. data bball;
set sashelp.baseball;
where Division = 'East';
where nHits >= 75;
run;
Answer: A
Explanation:
To subset data in SAS using the data step, the where statement is used to specify the conditions that observations must meet to be included in the new data set. The correct syntax for subsetting the SASHELP.BASEBALL data set to include only players in the 'East' Division with 75 or more hits is as follows:
data bball;
set sashelp.baseball;
where Division = 'East' and nHits >= 75;
run;
This code, as shown in option D, uses the where statement with the correct logical operator and to ensure that both conditions must be true for a record to be included in the new dataset. Options A, B, and C either use incorrect syntax or logical operations that do not match the required conditions for the subset. Option A has an incorrect combination of conditions, B uses two where statements which is not valid syntax, and C incorrectly uses the or operator which would include players not in the 'East' Division or with fewer than 75 hits.
NEW QUESTION # 59
Which LIBNAME statement has the correct syntax for accessing SAS data sets?
- A. libname mydata='c:\sas\data';
- B. libname mydata 'c:\sas\data';
- C. libname 'c:\sas\data'=mydata;
- D. libname 'c:\sas\data' mydata;
Answer: C
NEW QUESTION # 60
Given the program shown below:
Given the partial PROC PRINT report below:
Why are the labels for msbp, MPG_city, and MPG_Highway NOT displaying in the PROC PRINT report^
- A. You must use a single LABEL statement for each variable.
- B. You must put the LABEL statement in the PROC PRINT step
- C. You must use the LABEL option on the PROC PRINT statement
- D. You must put the LABEL statement after the KEEP statement In the DATA stop
Answer: C
Explanation:
The reason the labels for MSRP, MPG_City, and MPG_Highway are not displaying in the PROC PRINT report is that the LABEL option was not used in the PROC PRINT statement. In SAS, even if you have label statements in your DATA step, you must also specify the LABEL option in the PROC PRINT statement for those labels to be used in the report output. Thus, the correct answer is Option A: You must use the LABEL option on the PROC PRINT statement.
References:
* SAS documentation on the PROC PRINT statement and LABEL option, SAS Institute.
NEW QUESTION # 61
Given the SAS data set WORK PRODUCTS:
The following SAS program is submitted:
How many variables does the WORK REVENUE data set contains?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION # 62
Given the input data set WORK. GR_ANS with two character variables:
The following SAS program is submitted:
Which report is created?
A)
B)
C)
D)
- A. Option A
- B. Option C
- C. Option D
- D. Option B
Answer: C
NEW QUESTION # 63
How does SAS display missing values?
- A. a blank for Doth numeric and character missing
- B. a period for missing numeric and a blank for missing character
- C. an N for missing numeric and C for missing character
- D. a blank for missing numeric and a $ for missing character
Answer: B
Explanation:
SAS handles missing values distinctively based on the data type of the variable. For numeric variables, SAS represents missing values with a period (.). For character variables, missing values are represented by a blank space. This handling is crucial for distinguishing between actual data entries and absent data, particularly in statistical calculations and data processing. Options B, C, and D incorrectly describe the representation of missing values in SAS, which does not use special characters like 'N', 'C', or '$' for this purpose.
References:SAS documentation on handling missing data, SAS Institute.
NEW QUESTION # 64
Which PROC PRINT step correctly displays only the first 10 observations in the data set?
- A. proc print data=sashelp.class obs=10;
run; - B. proc print data=sashelp.class;
obs=10;
run; - C. proc print data=sashelp.class (obaS'10' )
; run; - D. proc print data=sashelp.class(obs=l10);
run;
Answer: D
Explanation:
Option A is correct. The (obs=10) option is used as a data set option within the proc print statement to limit the number of observations processed to the first 10. The syntax should be placed immediately after the data set name within parentheses. Options B, C, and D are incorrect because they either use the wrong option or place the obs option incorrectly outside of the parentheses or with incorrect syntax.
References:
* SAS 9.4 documentation on the obs= data set option.
NEW QUESTION # 65
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