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SAS Institute A00-405 Exam Topics, Blueprint and Syllabus

SAS Viya 3.5 Natural Language Processing and Computer Vision

Last Update September 18, 2024
Total Questions : 60

Our Natural Language and Computer Vision Specialist A00-405 exam questions and answers cover all the topics of the latest SAS Viya 3.5 Natural Language Processing and Computer Vision exam, See the topics listed below. We also provide SAS Institute A00-405 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of SAS Institute A00-405 resources to help you understand the topics covered in the exam, such as Natural Language and Computer Vision Specialist video tutorials, A00-405 study guides, and A00-405 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.

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SAS Institute A00-405 Exam Overview :

Exam Name SAS Viya 3.5 Natural Language Processing and Computer Vision
Exam Code A00-405
Actual Exam Duration The duration of the SAS Institute A00-405 exam is 2 hours.
What exam is all about The SAS Certified Clinical Trials Programmer Using SAS 9 Accelerated Version exam (A00-405) is a certification exam offered by SAS Institute. It is designed to test the knowledge and skills of clinical trial programmers who use SAS 9 Accelerated Version software. The exam covers topics such as data management, programming, and reporting. It also tests the ability to use SAS 9 Accelerated Version to create and maintain clinical trial databases.
Passing Score required The passing score for the SAS Institute A00-405 exam is 70%.
Competency Level required The SAS Institute A00-405 exam is an entry-level certification exam. It is designed to assess the knowledge and skills of individuals who are new to SAS programming. The exam covers topics such as data manipulation, data exploration, data analysis, and reporting. To pass the exam, candidates must demonstrate a basic understanding of SAS programming concepts and techniques.
Questions Format The SAS Institute A00-405 exam consists of multiple-choice questions.
Delivery of Exam The SAS Institute A00-405 exam is available in two formats: online and paper-based. The online version is a computer-based exam that can be taken at any authorized testing center. The paper-based version is a traditional paper-and-pencil exam that must be taken at a designated testing center.
Language offered The SAS Institute A00-405 exam is offered in English.
Cost of exam The cost of the SAS Institute A00-405 exam is $180 USD.
Target Audience The target audience for the SAS Institute A00-405 exam is individuals who are interested in becoming certified SAS professionals. This includes individuals who are looking to gain a better understanding of the SAS programming language and its applications, as well as those who are looking to gain a competitive edge in the job market. The exam is designed to test the knowledge and skills of those who are already familiar with the SAS programming language and its applications.
Average Salary in Market The average salary for someone with a SAS Institute A00-405 exam certification is around $90,000 per year.
Testing Provider The SAS Institute does not provide A00-405 exams for testing. The A00-405 exam is a certification exam that must be taken at an authorized testing center.
Recommended Experience The recommended experience for the SAS Institute A00-405 exam is at least six months of experience working with SAS software. This includes experience with SAS programming, data manipulation, and data analysis. Additionally, it is recommended that candidates have a basic understanding of the SAS platform and its components.
Prerequisite There are no prerequisites for the SAS Institute A00-405 exam. However, it is recommended that you have a basic understanding of SAS programming and data analysis. Additionally, it is recommended that you have experience working with SAS Enterprise Guide, SAS Enterprise Miner, and SAS Visual Analytics.
Retirement (If Applicable) The SAS Institute A00-405 exam does not have an expiration date. It is valid for life.
Certification Track (RoadMap): The SAS Institute A00-405 exam is a certification track and roadmap for SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential. This exam is designed to test a candidate's knowledge and skills in the areas of regression and modeling using SAS 9. The exam covers topics such as linear regression, logistic regression, time series analysis, and predictive modeling. Candidates must demonstrate their ability to use SAS 9 to analyze data, create models, and interpret results. Successful completion of the exam will earn the candidate the SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential.
Official Information https://www.sas.com/en_ph/certification/exam-content-guides/natural-language-computer-vision-specialist.html
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SAS A00-405 Exam Topics :

Section Weight Objectives
Loading and Exploring Data 20%
  • Import documents for analysis
  • Create and explore a project in SAS® Visual Text Analytics
  • Load and prepare image data
Identifying Text Patterns Using Natural Language Processing Techniques 42%
  • Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
  • Write concept rules
  • Use the Topics Node to extract machine-generated topics
  • Use rules to identify documents belonging to specific categories
  • Write category rules
  • Use a Recurrent Neural Network (RNN) to recognize patterns
Identifying Image Patterns Using Computer Vision Techniques 38%
  • Use convolutional layers in a Convolutional Neural Network (CNN)
  • Use padding in a Convolutional Neural Network (CNN)
  • Use pooling in a Convolutional Neural Network (CNN)
  • Use fully connected layers in a Convolutional Neural Network (CNN)
  • Use output layers in a Convolutional Neural Network (CNN)
  • Tune the Hyperparameters of a Convolutional Neural Network (CNN)
  • Score new image data
  • Explain the impact of various architectural designs
  • Use regularization techniques