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Technical A00-215 Training - Valid A00-215 Exam Bootcamp

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SASInstitute A00-215 certification exam is a computer-based exam that comprises 65 multiple-choice and short-answer questions. Candidates have 110 minutes to complete the exam, and the passing score is 70%. A00-215 exam is administered at SASInstitute testing centers worldwide.

SASInstitute A00-215 Exam covers a wide range of topics related to SAS programming, such as data manipulation, data analysis, data management, and data reporting. A00-215 Exam Tests candidates on their ability to write SAS code, read and interpret SAS code, and troubleshoot errors in SAS code. Candidates are also tested on their knowledge of SAS terminology, syntax, and procedures.

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SASInstitute is one of the most renowned organizations in the world in the field of data analytics and business intelligence. They offer a range of certifications that validate the knowledge and skills of professionals in this domain. One such certification is the SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) Exam.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q374-Q379):

NEW QUESTION # 374
Given the report shown below:

Which PROC PREQ step creates the frequency report?

A. proc freq data= cars;
tables make drivetrain;
run;
B. proc freq data- cars;
tables drivetrain* make;
run;
C. proc freq data- cars;
tables drivetrain make;
run;
D. proc freq data= cars;
tables make *drivetrain;
run;

Answer: B

NEW QUESTION # 375
You have a SAS dataset named 'CUSTOMERS' with variables 'CUST ID', 'NAME', 'CITY', 'STATE', 'ZIP', 'PHONE', 'EMAIL'. You need to create a new dataset named 'CUSTOMERS CONTACT' containing only the variables 'NAME', 'PHONE', and 'EMAIL'. Which of the following DATA step code snippets would achieve this?

Answer: C,D,E

Explanation:
Both 'KEEP=' and 'DROP=' options can be used within the SET statement to select specific variables for output- Option A uses 'KEEP=' to explicitly include the desired variables, Option B uses 'DROP=' to exclude the unwanted variables, and Option D combines 'SET' and 'DROP=' for the same purpose- Option C is incorrect because 'KEEP=' must be used within the SET statement for variable selection. Option E is incorrect because it focuses on renaming variables instead of selecting them for output.

NEW QUESTION # 376
You have a SAS dataset named 'sales' with variables 'product', 'region', and 'units_sold'. You want to create a new dataset 'sales _ summary' that summarizes the total units sold for each product across all regions. Which of the following code snippets correctly achieves this?

Answer: A,B,D

Explanation:
All three code snippets (A, B, and C) correctly achieve the desired result of summarizing the total units sold for each product. Option A uses the 'PROC SQL' procedure, which is very flexible for data manipulation and aggregation. It uses the function to calculate the total units sold per product and the 'GROUP BY' clause to group the results by product. Option B uses the 'PROC SUMMARY procedure, which is designed specifically for summarizing data. The 'CLASS' statement specifies the variable to group by, the 'VAR' statement specifies the variable to summarize, and the 'OUTPUT statement defines the output dataset and the calculation to be performed (sum in this case). Option C uses the 'PROC MEANS procedure, similar to 'PROC SUMMARY but focused on generating descriptive statistics. It achieves the desired outcome by specifying the 'CLASS' and 'VAR statements and using the 'OUTPUT' statement to create the output dataset with the sum of units sold per product. Option D uses ' PROC TABULATE which is primarily for creating tables and does not directly produce a dataset with the desired summary Option E uses 'PROC TRANSPOSE to transpose the dataset which is not appropriate for this scenario.

NEW QUESTION # 377
You have a SAS dataset named 'SALES' with variables 'Region', 'Product', 'Quantity', and 'Price'. You want to create a report that displays only the 'Region' and 'Quantity' variables, but sorted in descending order of 'Quantity'. Which PROC PRINT statement achieves this?

Answer: A

Explanation:
The correct answer is option C. The 'SORT BY Quantity DESCENDING' statement within the 'PROC PRINT step orders the output in descending order of 'Quantity' before the report is printed. Options A and E do not specify any sorting order Option B and D use the 'ORDERDESC' statement, which is not the correct syntax for sorting within 'PROC PRINT. You need to use the 'SORT BY statement for sorting the data.

NEW QUESTION # 378
You are working with a SAS dataset named 'CUSTOMERS' that has a variable called 'NAME'. You need to create a new variable called 'NAME LENGTH' that stores the length of each customer's name. Which of the following SAS code snippets would achieve this correctly?

Answer: D

Explanation:
The correct answer is The LENGTH function in SAS correctly determines the length of a character variable. Options B, C, and E are incorrect because they either modify the variable type, apply a format, or use an invalid argument for the LENGTH function. Option D is incorrect because it subtracts 1 from the length, which is not necessary in this scenario. Option A is the only option that uses the LENGTH function to correctly calculate the length of the character variable 'NAME' and assigns it to the new variable 'NAME LENGTH'.

NEW QUESTION # 379
......

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