Advanced Programming Using SAS 9.4 (A00-232) Certification Exam Sample Questions

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SAS A00-232 Sample Questions:

01. A hotel reservation system checks a room package name supplied as a macro parameter at execution time:
%macro checkroom(pkg); %if %quote(&pkg) = %str(King & Ocean View) %then %put Match found; %else %put No match; %mend checkroom; %checkroom(King & Ocean View)
Why is %QUOTE, rather than %STR, the right tool to mask &pkg in this %IF condition?
a) Because %QUOTE, unlike %STR, can only be applied to values shorter than 20 characters
b) Because &pkg's value is not fixed literal text written in the macro source
c) Because %STR would resolve &pkg to a numeric value automatically, breaking the string comparison
d) Because %QUOTE is the only macro-quoting function that is valid inside a %MACRO definition
 
02. A telecom billing team runs the following code and then inspects two automatic macro variables:
proc sql; update billing.disputes set status = 'REVIEW' where amount > 250; quit; %put SQLOBS=&sqlobs SYSERR=&syserr; %put Host=&sysscp;
Select the two statements that correctly describe these automatic macro variables.
(Choose two.)
a) &SQLOBS reflects the number of observations processed by the most recently executed PROC SQL step
b) &SQLOBS is only populated when the FEEDBACK option is specified on the PROC SQL statement
c) &SYSERR is automatically reset to 0 at the start of every DATA step, regardless of prior errors
d) &SYSERR is a permanent global macro variable that cannot be referenced until an explicit %GLOBAL statement declares it
e) &SYSSCP resolves to a value identifying the operating system SAS is running under, such as WIN or LINUX
 
03. work.sizes contains 3 rows (S, M, L) and work.colors contains 4 rows (Red, Blue, Green, Black).
PROC SQL; SELECT size_code, color_name FROM work.sizes, work.colors; QUIT;
Since no WHERE clause links the two tables, how many rows does this query return?
a) 3 rows
b) 7 rows
c) 4 rows, one for each color
d) 12 rows
 
04. An insurance claims team runs the following code to flag high-value claims:
%let threshold = 5000; data flagged; set claims.pending; claim_limit = symget('threshold'); if claim_amt > claim_limit then flag = 'Y'; run;
What is true about how claim_limit is populated and used in the comparison?
a) SYMGET can only retrieve macro variables created with CALL SYMPUT in the same DATA step, so referencing the value of THRESHOLD, defined with %LET, returns a missing value
b) The DATA step fails to compile, because SYMGET cannot be called directly in an assignment statement and must be wrapped in %SYSFUNC
c) SYMGET always returns the value as text, so claim_limit holds the character string 5000
d) SYMGET detects that the stored macro value looks numeric and returns claim_limit as a numeric variable, identical to reading a numeric column
 
05. A logistics reporting macro builds a dynamic carrier filter:
%macro carrier_report(carrier_list=); proc sql; select carrier_name, count(*) as shipment_ct from work.shipments where carrier_code in (&carrier_list.) group by carrier_name; quit; %mend carrier_report; %carrier_report(carrier_list=%str('UPS','FEDX','DHL'))
Why is %STR required around the carrier_list value in this macro call?
a) The value contains commas
b) %STR forces the macro processor to execute the PROC SQL step at compile time instead of run time.
c) Without %STR, SAS would convert the carrier codes to numeric values before the query runs.
d) %STR is required because macro parameter values can never contain quotation marks.
 
06. A CRM team stores a customer's primary email in work.cust_master and a fallback email in work.cust_alt, and runs:
proc sql; select m.cust_id, coalesce(m.primary_email, a.alt_email) as contact_email from work.cust_master as m left join work.cust_alt as a on m.cust_id = a.cust_id; quit;
For a customer whose primary_email is missing but who has a matching row in cust_alt, what value does contact_email return?
a) Both values concatenated together, because COALESCE merges non-missing arguments from a join.
b) A missing value, because COALESCE only evaluates its first argument and ignores the rest.
c) An error at compile time, because COALESCE cannot accept columns coming from a joined table.
d) The alt_email value from cust_alt
 
07. A retail team wants to export an already-loaded format's definition for auditing, using CNTLOUT=.
proc format library=work cntlout=work.fmt_audit; select regionf; run;
What does this step produce, and how does it relate to CNTLIN=?
a) Without an explicit select statement, CNTLOUT= would fail to execute; select is a mandatory companion statement whenever CNTLOUT= is specified, regardless of how many formats exist in the library.
b) CNTLOUT= writes the definition of the selected format(s) — here just regionf, due to the select statement — out to work.fmt_audit, producing control-dataset-shaped columns (FMTNAME/START/LABEL/etc.)
c) CNTLOUT= and CNTLIN= are two names for the identical operation; both read a control dataset's rows and load them into a format, so this step will attempt to load work.fmt_audit as a new format definition.
d) CNTLOUT= deletes regionf from the work format library after exporting it, functioning as a move rather than a copy operation.
 
08. An agricultural reporting step needs to print field-yield records sorted by field_id, without first sorting the source dataset.
data _null_; if _n_ = 1 then do; declare hash yields(dataset:'work.field_yields', ordered:'a'); yields.definekey('field_id'); yields.definedata('field_id','avg_yield'); yields.definedone(); declare hiter iter('yields'); do while (iter.next() = 0); put field_id= avg_yield=; end; end; run;
What determines the order in which the put statement prints rows, and what role does the hiter object play?
a) ordered:'a' has no effect unless a separate PROC SORT is run on work.field_yields beforehand; hiter simply reads the dataset directly, bypassing the hash object.
b) hiter's next() traverses rows in the same physical order they appear in work.field_yields; the ordered:'a' argument on the hash only affects find(), not iteration.
c) ordered:'a' keeps the hash's keys sorted ascending internally, and the hiter object's next() method walks that order sequentially
d) declare hiter creates a second, independent copy of the hash's data; changes made via iter do not reflect the state of the original yields hash object.
 
09. An e-commerce team tags each order with a region name derived from country_code, using a previously defined format rather than a merge against a reference table.
proc format; value $regionfmt 'US','CA','MX' = 'North America' 'DE','FR','ES' = 'Europe' other = 'Other'; run; data work.orders_tagged; set work.orders_raw; region = put(country_code, $regionfmt.); run;
What best describes this technique, and when is it preferable to a hash-object or MERGE-based lookup?
a) put(country_code, $regionfmt.) applies the format to return its label as region — a lightweight one-statement lookup that suits a small, stable, hand-coded reference set
b) put() executes an implicit PROC SQL join behind the scenes against the format's internal control dataset, making it functionally identical to a hash-object join for tables of any size.
c) Because $regionfmt is a character format, put() can only be used in a WHERE clause, never to create a new DATA step variable such as region.
d) put(country_code, $regionfmt.) modifies country_code's own stored value in place, replacing 'US' with 'North America', rather than creating a separate region variable.
 
10. work.q1_sales has columns, in this order: region, amt. work.q2_sales has the same two column names but stored in the opposite order, plus an extra column: amt, region, quarter.
Which statement correctly distinguishes plain UNION from UNION CORR when combining SELECT * FROM work.q1_sales with SELECT * FROM work.q2_sales?
a) UNION combines rows by matching column names regardless of order and outputs only the common columns; UNION CORR requires the two queries' columns to be in identical order.
b) UNION requires a GROUP BY on the shared columns before it can execute; UNION CORR requires an ORDER BY on the shared columns instead.
c) UNION and UNION CORR behave identically in PROC SQL; CORR only changes the sort order applied to the final combined result.
d) UNION combines columns strictly by position and requires the same number of columns in both queries, which would misalign region against amt here

Answers:

Question: 1 Answer: b Question: 2 Answer: a, e
Question: 3 Answer: d Question: 4 Answer: c
Question: 5 Answer: a Question: 6 Answer: d
Question: 7 Answer: b Question: 8 Answer: c
Question: 9 Answer: a Question: 10 Answer: d

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