SAS A00-420 Certification Exam Syllabus

A00-420 Syllabus, A00-420 PDF Download, SAS A00-420 Dumps, SAS Viya Intermediate Programming Dumps PDF Download, SAS Viya Programming Specialist PDF DownloadThis page is a one-stop solution for any information you may require for SAS Viya Programming Specialist (A00-420) Certification exam. The SAS A00-420 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual SAS Certified Specialist - Intermediate Programming Using SAS Viya exam preparation, we have designed these resources to help you get ready to take your dream exam.

The SAS Viya Programming Specialist credential is globally recognized for validating SAS Viya Intermediate Programming knowledge. With the SAS Certified Specialist - Intermediate Programming Using SAS Viya Certification credential, you stand out in a crowd and prove that you have the SAS Viya Intermediate Programming knowledge to make a difference within your organization. The SAS Viya Programming Specialist Certification (A00-420) exam will test the candidate's knowledge on following areas.

SAS A00-420 Exam Summary:

Exam Name SAS Viya Programming Specialist
Exam Code A00-420
Exam Duration 110 minutes
Exam Questions 65-70
Passing Score 71%
Exam Price $180 (USD)
Training Accelerating SAS Code on the SAS Viya Platform
SAS Programming High-Performance Data Processing with CASL in SAS Viya
Exam Registration Pearson VUE
Sample Questions SAS Viya Intermediate Programming Certification Sample Question
Practice Exam SAS Viya Intermediate Programming Certification Practice Exam

SAS A00-420 Exam Topics:

Objective Details

Programming in SAS Viya Concepts (5-10%)

Describe the SAS Viya architecture. - Compute Server vs. Cloud Analytics Server (CAS)
- Serial vs parallel processing
- In-memory processing
- Open source integration
Explain when to use the CAS server for programming tasks. - Size of data
- Type of SAS procedure used

Managing Data with CAS Enabled Procedures (10-15%)

Explain how to access and use CAS Libraries (caslibs). - Establish CAS sessions with the CAS statement.
- Caslib attributes (Session, local, active, personal)
- Properties of the casuser caslib
- Use the CASLIB statement to assign session-scope caslibs
- Assign a libref to a caslib with the LIBNAME statement and CAS engine
- View the contents of a caslib with PROC CASUTIL
Describe how to load data into In-Memory Tables. - Load data files into memory
- Client-side vs server-side files
- Loading client-side data (PROC CASUTIL)
  • LOAD DATA= statement

- In-memory table scope (Session vs Global, promoting tables)
- Loading server-side data sources (PROC CASUTIL)

  • LOAD CASDATA= statement
  • ALTERTABLE statement

- Alternate data loading methods (DATA step, PROC SQL, PROC IMPORT)

Describe how to save and drop In-Memory Tables. - SASHDAT files
Describe CAS column data types. - Properties of character column variable types
  • CHAR
  • Determine when to use CHAR vs VARCHAR()

- Properties of numeric column variable types

  • INT32
  • INT64

- Create varchar column variables with the LENGTH statement
- Determine appropriate column data types for example data

DATA Step and SQL programming in CAS (10-15%)

Explain how SAS determines where code executes. - Location of the input/output data
- What procedures are being run
- What statements/functions are used
- SESSREF= option on the DATA statement
- SESSREF= option within FedSQL
- MSGLEVEL= system option
Explain threading within the SAS DATA step.

- Where code executes: CAS, Compute Server
- Effect of threads on the DATA step
- _THREADID_ and _NTHREADS_ automatic variables
- SINGLE= DATA step option
- Adjust DATA Step code when accumulating totals
- Explain how BY groups are processed in CAS enabled DATA step code

  • Relationship between the distribution of threads and BY GROUP variables
  • DATA step BY GROUP processing and sorting
Update DATA step code to run in CAS. - DESCENDING keyword
- WHERE= option
- DATALIMIT= option
- Functions not supported in CAS (Examples: RANBIN, RANUNI, SYMGET, FILEREF, GIT functions)
Update PROC SQL code to run as PROC FEDSQL code. - Data types
- Supported statements
- Mnemonics vs operators
- SESSREF= option
- Remerge
- Calculated keyword
- SET operations
- Correlated subqueries
- Dictionary tables
- Views
- LIMIT clause

CAS-Enabled Procedures and User Defined Formats (5-10%)

Identify common procedures that run only on the Compute Server. - PROC FREQ and UNIVARIATE
- SG Graphics procedures
Use common procedures that run in both the CAS and Compute Server. - How SAS determines where the procedure runs
  • Location of the input/output data
  • Which functions/options are used in the code


  • Common Supported Statements: CLASS/BY/VAR/WHERE/FORMAT
  • Common Supported Statistics: N, NMISS, MIN, MAX, RANGE, MEAN, SUM, STDERR, VAR)
  • Common Unsupported Statistics: MEDIAN, MODE, percentiles

- BY GROUP processing in CAS
- Use the log file to identify where code executed

Use Common summary procedures that run only in CAS. - PROC FREQTAB
  • TABLE statement
  • BY statement


  • VAR statement
  • OUTPUT statement
  • GROUPBY statement
Discuss how user-defined formats are used and stored in CAS. - Location where formats are stored within CAS
- Saving formats to caslibs with the CASFMTLIB= option
- Save formats to and retrieve from permanent SASHDAT files with a CAS statement
- Assigning formats to in-memory tables

CAS Language Basics (15-20%)

Describe the CASL programming language. - Action Sets
- Actions
- Parameters
- Statements
Create and manipulate CASL variables. - CASL variables vs. SAS variables
- CASL Variable Data Types (int32, int64, double, string)
- DESCRIBE statement
- PRINT statement
- Built-in functions vs common functions
Use arrays in CASL programs. - Define arrays
  • Array element data types
  • Nested arrays

- Retrieve values from arrays
- Array operators (||, &, /, ==)
- Array functions (DIM, SORT, SORT_REV)
- Use DO-OVER loops to process arrays

Use dictionaries in CASL programs. - Define dictionaries
- Retrieve values from dictionaries with bracket and dot notation
- Retrieve nested dictionary values with dot notation
- Use DO-OVER loops to process dictionaries
Capture the results returned from CAS actions.

- Capture results from CAS actions as variables/objects/dictionaries
- Verify the return status to check for a successful action
- Use DO-OVER loops to process the rows of a result table
- Save results tables:

  • to In-memory tables with the SAVERESULT statement
  • to caslib data sources with the action
  • to SAS data sets with the SAVERESULT statement
  • to CSV files with the SAVERESULT statement
Use source blocks in CASL programs. - Identify when SOURCE blocks are required for code substitution
- use SOURCE blocks for DATA step and FedSQL code substitutions
- Use SOURCE blocks for code substitution in the computedVarsProgram= parameter of CAS actions

Access Data with CAS Actions (5-10%)

Use CAS actions to access and explore data sources. - Create caslibs with the table.addCaslib action
- View available caslib information with the table.caslibInfo action
- View data source files information with the table.fileInfo action
- Load server side files into memory with the table.loadTable action
  • parameters: path, caslib, casOut, importOptions
Use CAS actions to manage in-memory tables. - View in-memory table information with the table.tableInfo action
- Load client side files into memory with the table.upload action
  • parameters: path, casOut

- Explain how database files load into memory with data connectors
- Promote in-memory tables
- Save tables with

  • parameters caslib= and table=

- Remove tables from memory with the table.dropTable action

Explore and Validate Data with CAS actions (5-10%)

Investigate in-memory data table properties and contents. - Table action set
  • columnInfo action
  • fetch action (parameters table=, fetchVars=, sortBy=, from=, to=)
  • WHERE clause

- Simple action set

  • numRows action
  • distinct action

- Identify duplicate values within in-memory table variables

  • deduplication.deduplicate action

- Compare table values with expected values to identify data that does not comply with business rules

Investigate results table properties and contents. - Access results tables property values (nrows, ncols, name, title, attrs)
- Create an array from a single results table column
- Use functions with results table content (SUM, EXISTS)
- Filter results tables with the WHERE operator
- Create computed columns with the COMPUTE operator

Prepare Data with CAS Actions (20-25%)

Update the contents of in-memory tables with the table.update action. - table= and set= parameters
  • WHERE= subparameter

- Use arrays of dictionaries as values for the set= parameter
- Use IFC and IFN functions to use conditional logic when updating tables
- Benefits and considerations of the table.update action

Create a copy of in-memory tables with the table.copyTable action. - table= and casOut= parameters to define input and output data sets
- computedVars= parameter to set column attributes
- computedVarsProgram= parameter to set column values
- Benefits and considerations of the table.copyTable action
- Promoting the copied table
Convert character to numeric columns. - Convert character to numeric columns with the inputn function
- Use informats
- Cast data types and the CAST function
Use data preparation action sets. - dataStep action set
  • runCode action
  • RunCodeTable action

- fedSQL action set

  • execDirect action
  • query= parameter
Modify table attributes with the table.alterTable action. - Update table attributes with rename=, label= parameters
- Change included columns with keep=, drop= parameters
- Change column attributes with the columns= parameter
Resolve missing values in tables with the dataPreprocess action set.

- Use the impute action to impute missing values

  • inputs= parameter
  • copyAllVars= parameter
  • MethodInterval= & valuesInterval= parameters
  • treatment of nominal and continuous variables
Transpose tables with the transpose.transpose action - table= and casOut= to specify input and output tables
  • groupBy= subparameter to specify by groups

- parameters: transpose, ID=, NAME=, IDLABEL=, PREFIX=

Analyse and Summarize Data with CAS Actions (5-10%)

Summarize data with CAS actions. - Produce summary statistics with the simple.summary action
  • table= and casOut= parameters
  • inputs= parameter
  • subSet= parameter

- Produce summary statistics with the aggregation.aggregate action

  • table= and casOut= parameters
  • varSpecs= parameter
    - name=, subset=, agg= subparameters

- Produce summary statistics with the dataPreprocess.rustats action

  • table=, inputs=, RequestPackages=, casOutStats= parameters

- Create one-way and two-way frequency tables

  • simple.freq
    - table= and inputs= parameters
  • freqTab.freqTab
    - table= and tabulate= parameters
    - vars= and cross= subparameters
  • simple.crossTab
    - table=, row=, col=, aggregator=, weight= parameters
Create Visualizations and Reports. - Run CAS actions to produce summarized or subsets of results tables
- Use visualization procedures to produce graphics from summarized results tables
- Use SAS Output Delivery System (ODS)

The SAS has created this credential to assess the knowledge and understanding of a candidate in the area as above via the certification exam. The SAS Viya Intermediate Programming (A00-420) Certification exam contains a high value in the market being the brand value of the SAS attached with it. It is highly recommended to a candidate to do a thorough study and also get a hand full of the practice to clear SAS Viya Programming Specialist exam without any hiccups.

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