SAS A00-440 Certification Exam Syllabus

A00-440 Syllabus, A00-440 PDF Download, SAS A00-440 Dumps, SAS ModelOps Specialist Dumps PDF Download, SAS Certified ModelOps Specialist PDF DownloadThis page is a one-stop solution for any information you may require for SAS Certified ModelOps Specialist (A00-440) Certification exam. The SAS A00-440 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual SAS Managing the Model Life Cycle using ModelOps exam preparation, we have designed these resources to help you get ready to take your dream exam.

The SAS Certified ModelOps Specialist credential is globally recognized for validating SAS ModelOps Specialist knowledge. With the SAS Managing the Model Life Cycle using ModelOps Certification credential, you stand out in a crowd and prove that you have the SAS ModelOps Specialist knowledge to make a difference within your organization. The SAS Certified ModelOps Specialist Certification (A00-440) exam will test the candidate's knowledge on following areas.

SAS A00-440 Exam Summary:

Exam Name SAS Certified ModelOps Specialist
Exam Code A00-440
Exam Duration 110 minutes
Exam Questions 65
Passing Score 65%
Exam Price $180 (USD)
Training ModelOps: Governing AI and Machine Learning Models That Drive Your Business with SAS
Books Managing Models in SAS Viya
Exam Registration Pearson VUE
Sample Questions SAS ModelOps Specialist Certification Sample Question
Practice Exam SAS ModelOps Specialist Certification Practice Exam

SAS A00-440 Exam Topics:

Objective Details

Define the ModelOps Framework (18 - 22%)
Emphasis on governance and stakeholders - Determine relevant stakeholders based on desired business outcome
- How will collaboration be achieved
- What are standard channels of communication
Determine the business process workflow - Outline feedback loops and decision validation
- Articulate handoffs and individual roles/responsibilities
  • Establish an approval process
  • Create a peer review process
    - Validate assumptions
    - Review for potential bias
    - Test against hold out data
    - Adherence to compliance and standards
    - Confirm the process is documented
  • Create a business review process
    - Adherence to compliance and standards
    - Verify consumption method
    - Make a Go/No-Go decision

- Define audit and tracking needs
- Automated vs. Manual tasks
- Batch vs. OnDemand vs. Streaming
- Identify third party integration points

  • CI/CD
  • Model development tools
  • Git
  • Mobile Apps
Develop workflow template(s) to execute the process - Model Type
  • Supervised
  • Unsupervised

- Scoring Environments

  • Cloud
  • On-prem
  • Containers
  • In-database
  • Edge

Develop Model Proposal (23 - 28%)
Define the business objective

- Define the business objective

  • Explicitly define the target variable
  • Assess business impact
  • Identify potential consumption methods
  • Verify alignment with corporate strategy and policies
Associated assets to include - Cost/benefit analysis
- Optimal business value
- Time to return on investment
- Level of risk
- Caveats/Assumptions
- Finalize consumption method
Evaluation against alternative resource allocation  
Establish preferred deployment method  
Establish monitoring assessment metrics - Business outcome metrics
- Optimal model accuracy fit statistics
- Model monitoring frequency and evaluation criteria
- Operational performance metrics

Model Development and Management (23 - 28%)
New or Re-build Model Development - Pre-processing - data extracts and data preparation
- Model training
- Post-processing
- Integration with third party software
Model tournament - Evaluate and compare multiple candidate models
  • Utilize fit statistics presented in Business Proposal
  • Consider balance of fit vs. model interpretability
  • Alignment to corporate ethics and data privacy standards

- Select a champion model
Execute peer review  
Execute business review - Exporting score code
- Registering a model
- Publish a model
Model registration - Metadata
  • Input/output variables
  • Properties

- Artifacts

  • Score code
  • Pre/post processing code
  • Associated external files and documentation
Establish the monitoring process - Build data extracts for input data
- Create metrics to monitor
  • Model metrics
  • Business metrics
  • System metrics

- Setup thresholds and alerts
- Develop monitoring reports
- Document the process and parameters
Prepare a model for use in production  

Model Deployment (18 - 22%)
Develop the data ingestion pipeline - Confirm naming conventions/standards used
- Review adherence to architecture standards
- Process request for additional data source (if needed)
- Build data extract for monitoring
Define production jobs - Create consumption application(s) (on-demand/streaming)
- Integrate with decisioning process
- Setup scoring, includes pre-/post-processing
- Setup performance data creation
- Setup performance monitoring reports
  • Model accuracy
  • Business outcome
  • Embed alerts

- Develop follow-up actions

  • Model updates based on performance monitoring
  • Business decisions
IT compliance check - Validate regulatory compliance
- Cross-check against standards/policy
Pre-production Testing - Unit testing
- Regression testing
- Performance testing

Production (9 - 12%)
Execute preprocessing  
Execute scoring/decision  
Execute post-processing  
Execute business actions associated with score/decision  
Execute performance monitoring - Evaluation
  • Diagnose data drift
  • Assess model accuracy
  • Business outcomes
  • Operational impact

- Alerts based on thresholds
- Model update (Recalibrate/Retrain/Rebuild/Retire)

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 ModelOps Specialist (A00-440) 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 Certified ModelOps Specialist exam without any hiccups.

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