A00-215 Dumps Free Test Engine Player Verified Updated [Sep 05, 2024]
Q&As with Explanations Verified & Correct Answers
SASInstitute A00-215 exam is a certification test for individuals who seek to become proficient in the programming fundamentals of SAS 9.4. A00-215 exam is designed to test a candidate’s knowledge of SAS programming concepts, syntax, data manipulation techniques, and SAS functionality.
NEW QUESTION # 42
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 # 43
Which PROC MEANS step generates the report below?
- A. proc means data=class / mean std;
mean (Height, Weight) ;
std (Height, Weight) ;
run; - B. proc means data=class;
options mean std;
keep Height Weight;
run; - C. proc means data=class mean std;
var Height Weight;
run; - D. proc means data=class;
var mean std;
run;
Answer: C
Explanation:
The correct syntax for generating the mean and standard deviation for specified variables using PROC MEANS is shown in option A. The PROC MEANS statement specifies the dataset to analyze (data=class) and includes the options (mean std) directly in the PROC statement. The VAR statement then lists the variables for which the statistics should be calculated (Height and Weight). The other options listed in B, C, and D are not correct syntax for PROC MEANS.
NEW QUESTION # 44
Which program generates the PROC MEANS report below?
- A. proc means data=sashelp. class;
group Age;
run; - B. proc means data=sashelp. class maxdec=0;
var Age;
run; - C. proc means data=sashelp.class nodec;
class Age; run; - D. proc means data=sashelp. class;
by Age;
run;
Answer: B
Explanation:
The PROC MEANS report shown in the image displays statistics for a single variable Age with no decimal places. The correct SAS code to generate such a report is option D, which uses the PROC MEANS procedure with the maxdec=0 option to control the number of decimal places displayed (in this case, zero) and specifies Age as the analysis variable using the var statement.
The PROC MEANS procedure computes descriptive statistics for numeric variables. The maxdec=0 option is used here to remove decimal places from the report output, which matches the output shown where the mean, standard deviation, minimum, and maximum are all integers.
The other options are incorrect for the following reasons:
* A uses the class statement, which is not appropriate here because Age is not a classification variable but an analysis variable.
* B uses the group statement, which is not a valid statement in the PROC MEANS procedure.
* C uses the by statement, which requires the data to be sorted by the BY variable and does not fit the output provided since it would produce separate statistics for each value of Age.
References:
* SAS 9.4 documentation for the PROC MEANS statement: SAS Help Center: PROC MEANS
NEW QUESTION # 45
Given the display of the CITIES data set:
Which program creates the PROC PRINT report below?
- A. proc print data=cities ;
Name=' Employee Name' ;
City='Birth City';
run; - B. options noobs labels;
proc print data=cities;
display Name=' Employee Name*
city='Birth City',
run; - C. proc print data-cities label noobs;
label Name='Employee Name'
City=' Birth City' ;
run; - D. proc print data=cities showlabelse;
label Name= ' Employee Name
City =Birth City
Answer: A
NEW QUESTION # 46
Given the following SAS program:
What footnotesappear for the second PROC PRINY report?
- A. Created by HR
- B. Created by HR
- C. Draft - DoNotDistribute
Create by HR - D. Draft -Do NOT Distribute
Answer: A
NEW QUESTION # 47
Given the STUDENTS data set below:
What will be the values for First. State and Last. State for Ellen's observation?
- A. First. State=0 and Last.State=0
- B. First. State=0 and Last. State=1
- C. First. State=1 and Last. State=1
- D. First. State=1 and Last.State=0
Answer: D
Explanation:
When using a BY statement in a DATA step, SAS creates two temporary variables for each BY variable:
FIRST.variable and LAST.variable. These are used to indicate the beginning and end of each BY group.
For Ellen's observation:
* First.State=1 because this is the first occurrence of the state "OH" in the dataset when sorted by the state variable, which makes it the beginning of a new group for "OH".
* Last.State=0 because Ellen is not the last observation
for the state "OH" group. In the given dataset snippet, there appears to be only one observation for the state
"OH", but since the data is sorted by state, and we don't see another "OH" below Ellen, we can deduce that Ellen's observation is not the last "OH" observation in the entire dataset. If there were no more "OH" observations following Ellen's, then Last.State would be 1.
The FIRST.variable is set to 1 for the first observation in each BY group and 0 for all other observations in the group. Conversely, LAST.variable is set to 1 for the last observation in each BY group and 0 otherwise. Since we're assuming that the dataset is larger than the snippet shown, and the data continues beyond what is visible, we must assume there are more observations for "OH" unless indicated otherwise.
References
* "SAS 9.4 Language Reference: Concepts." SAS Institute Inc.
* "BY-Group Processing" in "SAS Programming 1: Essentials" course material, SAS Institute.
NEW QUESTION # 48
Which PROC PRINT option displays variable labels in the report?
- A. SHOWLABELS
- B. LABEL
- C. COLS
- D. LABELS=
Answer: D
NEW QUESTION # 49
What happens when you submit the code shown below?
data table1 table2;
set sashelp.shoes;
output;
run;
- A. The program does not run because there is no data set specified on the OUTPUT statement.
- B. Each observation is written twice to table1 and table2.
- C. Each observation in sashelp. shoes is written to both table1 and table2.
- D. Each observation in sashelp. shoes is written to table1 only.
Answer: C
Explanation:
In SAS, the code you provided involves creating two datasets, table1 and table2, from the dataset sashelp.shoes. The key part to understand here is how the DATA statement and OUTPUT statement interact with the specified datasets.
* DATA Statement: The statement data table1 table2; initiates the creation of two new datasets named table1 and table2.
* SET Statement: The set sashelp.shoes; statement is used to read data from the sashelp.shoes dataset.
This dataset includes data on shoe sales from SASHELP library, which is commonly used for demonstration purposes in SAS.
* OUTPUT Statement: In the context of the DATA step where multiple datasets are specified in the DATA statement (as in table1 table2), the OUTPUT statement without a dataset name specified outputs the current observation to all datasets listed in the DATA statement. This is a critical point because it determines where the data goes after processing in the DATA step.
* Execution: When the run; statement is executed, it processes each observation from sashelp.shoes. For each observation, because there is no condition or additional OUTPUT statements specifying dataset names, each observation is output to both table1 and table2.
Therefore, the correct behavior as described is that each observation in sashelp.shoes is written to both table1 and table2. This effectively duplicates each row from the source into both target datasets.
References:
* SAS 9.4 Language Reference: Concepts, "DATA Step Processing" and "OUTPUT Statement" sections provide detailed explanations on how DATA steps process and how OUTPUT statement works in different contexts.
* Practical examples and explanations from SAS programming courses and official SAS documentation, which discuss DATA and SET statements, and their interaction with OUTPUT in data duplication scenarios.
NEW QUESTION # 50
Given the partial 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;
table region product / crosalist
run; - C. proc freq data=sashelp.shoes;
tables region*producc / cross run; - D. proc freq data=sashelp. shoes
data=sashelp.shoes; region product / list
run;
Answer: B
NEW QUESTION # 51
Given the data set NAMES:
Which PROC SORT program creates the NAMES data set shown below?
- A. proc sort data=Names;
by Age Name - B. proc sort data=Names;
by Age - C. proc sort data=Names;
orderby Name;
run; - D. proc sort data=Names;
orderby Age
Answer: D
NEW QUESTION # 52
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 # 53
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 # 54
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 # 55
Which SAS format displays a SAS date as 25JUN2019?
- A. Dmy9.
- B. ddMMMyy9.
- C. Date9.
- D. Ddmmmyyyy9.
Answer: C
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 # 56
Which statement is true when creating two SAS data sets with a DATA step?
- A. Use a PUT statement to output the observations to the appropriate data sets.
- B. Use a separate SET statement for each data set.
- C. Name both data sets in the DATA statement
- D. Use an OUT= option in the WHERE statement to output the observations to the appropriate data sets.
Answer: B
NEW QUESTION # 57
Given the PATIENT and VISIT data sets and the DATA step shown below:
PATIENT
VISIT
How many observations are created in the ALLVISITS data set?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
In the provided DATA step, the merge statement is used to combine the PATIENT and VISIT data sets by the variable Id. The number of observations in the resulting ALLVISITS data set will equal the number of unique Id values that appear in both the PATIENT and VISIT data sets, because the merge in SAS is a one-to-one merge by default when the by statement is used without additional options like in=.
Looking at the provided data sets, each Id in the PATIENT data set has corresponding entries in the VISIT data set. Since there are 5 unique Id values and the VISIT data set contains multiple observations for some Id values (specifically, Id 2 and 5 have more than one visit), the ALLVISITS data set will have a total of 7 observations (1 for each patient plus the additional visits for Id 2 and 5).
References:
* SAS documentation on the merge statement.
NEW QUESTION # 58
Which code uses the correct syntax to conditionally create the two variables age-Cat and account?
- A. if aga<13 do;
age_Cat-'Pre-teen';
account='No Social Media Allowed
end; - B. if age<13 then do;
age_cat=' Pre-teen'
account='No social Media' Allowed;'
and;
if age<13 then
age_Cat=;Pre-teen'
account='No Social Media Allowed'; - C. if age<13 do than;
age_Cat= ' Pre-teen ';
,-account='No Social Media;'
and;
Answer: B
NEW QUESTION # 59
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 # 60
What is the default sort order of PROC SORT?
- A. Internal
- B. Formatted
- C. Descending
- D. Ascending
Answer: D
Explanation:
https://documentation.sas.com/?docsetId=proc&docsetTarget=n12jw1r2n7auqqn1urrh8jwezk00.htm&docsetVer The default sort order for PROC SORT in SAS is ascending. This means that if no other sort order is specified, SAS will arrange the data in ascending order based on the values of the variable(s) listed in the BY statement.
Here's an example:
* proc sort data=mydata; by variable; run; sorts mydata by variable in ascending order by default.
The other options are incorrect in the context of the default sort order:
* A. 'Internal' is not a sort order.
* C. 'Formatted' refers to sorting data based on formatted values, not the default order.
* D. 'Descending' is an alternative sort order that must be explicitly specified with the DESCENDING keyword.
References:
* SAS 9.4 documentation for the PROC SORT statement: [SAS Help Center: PROC SORT]
NEW QUESTION # 61
Which statement is true about the DROP statement during the compilation phase of the DATA step?
- A. Variables on the DROP statement are removed from the input data set.
- B. The DROP statement determines the order of the variables in the Program Data Vector
- C. Variables on the DROP statement are not created in the Program Data Vector
- D. The DROP statement flags the variables in the Program Data Vector to be dropped at output.
Answer: D
Explanation:
The DROP statement during the compilation phase of the DATA step flags variables in the Program Data Vector (PDV) to be dropped when the data set is output. This means that although the variables exist in the PDV during the DATA step execution, they will not be written to the output data set. The DROP statement does not affect the order of variables (which is the purpose of the ORDER= data set option), nor does it remove variables from the input data set or prevent them from being created in the PDV.
References:
* SAS documentation on the DROP statement.
NEW QUESTION # 62
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
NEW QUESTION # 63
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.
Answer: C
Explanation:
The SAS program provided includes a PROC FORMAT step that defines a numeric format called Syn and applies this format to the variable answer in the PROC PRINT step. The format maps the value '0' to 'No', '1' to 'Yes', and all other values to 'Unknown'.
However, there is a syntax error in the PROC FORMAT step: it uses a dollar sign before Syn, which is used to indicate character formats, but the format is defined for numeric values (0 and 1). Therefore, when applying this format to the answer variable in PROC PRINT, it should not have a dollar sign, it should be format answer Syn.; instead of format answer $yn.;.
The correct output based on the given code, assuming the error with the dollar sign is corrected, would be as follows:
* For numeric values 0 and 1, 'No' and 'Yes' would be displayed, respectively.
* For any other numeric value, 'Unknown' would be displayed.
* For character values, the format would not apply and the actual values would be displayed.
Given that the values in the 'answer' column are numeric, the program will format them according to the defined Syn format. Thus, the report corresponding to Option D, which shows numeric values unformatted, would be the one created. This indicates that the format was not applied because of the syntax error with the dollar sign.
References:
* SAS 9.4 documentation for the FORMAT procedure and statement: SAS Help Center: PROC FORMAT
NEW QUESTION # 64
Given the input data set INVENTORY as shown below:
Two output data sets are desired, CHIPS and OTHERSNACKS.
*The CHIPS data set should only include QtySold, Price, and Product.
*The OTHERSNACKS data set should include QtySold, Price, product, and Type.
Which Data step creates the two desired output data sets
- A. data chips otharsnacks;
set inventory;
if Type="chips" then output chips
else output otharsnacks;
keep QtySold Price Product;
run; - B. data chips ( keep=QtySold Price Product) othersnacks;
set inventory;
if Type="chipa" then output chips;
else output otharsnacks;
run; - C. data chips othersnacks;
set: inventory;
if Type="chips" then do;
keep QtySold Price Product;
output chips;
end;
else output othersnacks;
run; - D. data chips othersnack"
set inventory (keep=QtySold Price Product);
if Typo~"chips" then output chips;
else output othersnacks;
run;
Answer: D
NEW QUESTION # 65
......
SASInstitute A00-215 Certification Exam consists of 60 multiple-choice and short-answer questions that need to be completed within 2 hours and 15 minutes. Candidates are required to have a basic understanding of SAS programming concepts, data management techniques, and statistical analysis methods. A00-215 exam is divided into three sections, namely, accessing data, data manipulation, and reporting and analyzing data. Candidates must score at least 70% to pass the exam.
Verified A00-215 dumps Q&As Latest A00-215 Download: https://surepass.actualtests4sure.com/A00-215-practice-quiz.html
