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Examinations & Outlines

Examinations are available at the professional and foundational level, depending on your chosen certification level. 

  • 1.0 Big Data Terminology

    2.0 Big Data Concepts

    3.0 Technical Considerations

    4.0 Big Data Governance - sources, data quality, integration, security, life cycle, master data management and definitions

  • 1.0  Introduction to Blockchain

    2.0  Introduction to Hyperledger Projects
    3.0  Hyperledger Fabric Architecture and Components
    4.0  Developing Smart Contracts with Hyperledger Fabric

    5.0  Smart Contract Invocation

    6.0  Testing and Maintenance

    7.0  Testing and Maintenance

    8.0  Hyperledger Fabric-on Cloud

    9.0  Hyperledger V.2 Integration

    10.0  Overview of 2 Hyperledger Projects

    11.0  Overview of 2 Other Hyperledger Projects

    12.0  Emerging Applications of Blockchain

  • 1.0  Business Intelligence Concepts & Roles
    2.0  Business Management Perspectives
    3.0  Analytics Techniques and Usage
    4.0  Business Intelligence / Decision Support Systems

  • 1.0  Business Systems
    2.0  Management Systems
    3.0  Planning
    4.0  Administration and Decision Making
    5.0  Control and Coordination
    6.0  Business Information Systems and Technology

  • 1.0  Business Information Systems Applications

    2.0  The Business Information Systems Environment

    3.0  Business Information System Considerations

  • 1.0  Business Process Management Concepts & Roles
    2.0  Business Management Perspectives
    3.0  BPM Methodology Approaches and Techniques
    4.0  Business Process Management Technology

  • 1.0  Foundations of Cyber Security
    2.0  Computer Hacking Forensic Investigators
    3.0  Ethical Hacking
    4.0  Incident Response Handling and Disaster Recovery

    5.0  Network Security Administration

    6.0  Secure Programming Issues

    7.0  Security Analysis

  • 1.0  Data, Information and Knowledge  
    2.0  Describing, Understanding and Managing Data
    3.0  Data Roles
    4.0  Data Models and Relationships

    5.0  Data Value and Quality

    6.0  Data Access, Storage, Protection and Security

    7.0  Data Atrophy, Renewal and Removal, Distribution

    8.0  Data Uses

    9.0  Data Storage Technologies and Purposes

    10.0  Evolving Business and Data Analytics Tools

    11.0  Corporate Mergers and Data Integration

    12.0  Data Strategy and Planning

    13.0  Document and Record Management

  • 1.0  Data and Information Quality Concepts, Process and Roles
    2.0  Data and Information Quality Audit Process
    3.0  Data and Information Quality Remediation
    4.0  Ongoing Data and Information Quality Activities

  • 1.0  Data Communications Concepts 
    2.0  Networking Concepts
    3.0  The ISO Open Systems Interconnect (OSI) Reference Model
    4.0  TCP/IP or Internet Reference Model

    5.0  Established Communications Systems

    6.0  Hardware

  • 1.0  Data Development Concepts and Technology Types
    2.0  Data Analysis and Design
    3.0  Related Data Designs
    4.0  Data Model and Design Quality Management

    5.0  Data Implementation

  • 1.0  Data Governance Concepts, Business Drivers and Roles
    2.0  Data Governance and Stewardship Roles
    3.0  Data Governance Inputs and Deliverables
    4.0  Data Governance Function

    5.0  Fundamental Knowledge Areas for Data Stewardship Activities

  • 1.0  Data Integration and Interoperability Approaches
    2.0  DII Architectures and Data Patterns
    3.0  DII Processes, Technologies, and Standards
    4.0  Data Integration Systems

    5.0  Organizational Roles and DII Governance

  • 1.0  Data Management Process
    2.0  Data Governance Function
    3.0  Data Architecture Management Function
    4.0  Data Development Function

    5.0  Data Operations Management Function

    6.0  Data Security Management Function

    7.0  Reference and Master Data Management Function

    8.0  Data Warehousing and Business Intelligence Management Function

    9.0  Document and Content Management Function

    10.0  Metadata Management Function

    11.0  Data Quality Management Function

    12.0  Big Data

    13.0  Data Integration

    14.0  Data Ethics

  • 1.0  Data Operations Management
    2.0  SQL Considerations
    3.0  Data Technology Management
    4.0  Data Security Management

  • 1.0  Business & Technology Issues: Starting with the Question First  What Problem are you Trying to Solve?
    2.0  Data Storage, Big Data and Sources
    3.0  Mathematics and Statistical Data Science
    4.0  Programming Skills

    5.0  The Data Analytic Question and Types of Data and Reporting

    6.0  Tidying the Data – Data Cleaning and Quality

    7.0  Exploratory Analysis

    8.0  Statistical Modeling and Inference

    9.0  Prediction and Machine Learning

    10.0  Causality

    11.0  Written Analysis

    12.0  Reproducibility

  • 1.0  Data Warehousing Management
    2.0  Data Warehousing Infrastructure Architectures
    3.0  Tools and Technology Types
    4.0  Data Warehousing Analysis

    5.0  Warehousing Data Modeling and Database Design

    6.0  Data Integration

    7.0  Other Warehousing Development Activities

    8.0  Implementation and Ongoing Activities

  • 1.0  Information Systems

    2.0  Data and Information Management
    3.0  Enterprise Architecture 

    4.0  IT Infrastructure 

    5.0  IS Project Management

    6.0  Systems Analysis & Design

  • 1.0  Management and Information Systems Decision Concepts
    2.0  Strategies and Business Process Management (BPM)
    3.0  Architecture and Infrastructure
    4.0  IS / IT Sourcing and Funding

    5.0  IS / IT Organization, Governance and Ethics

    6.0  Project Management

    7.0  Managing Data, Information, and Knowledge, and Using Business Analytics

  • 1.0  Consulting Function
    2.0  Consulting Work Acquisition
    3.0  Consulting Work Management
    4.0  Client Management

    5.0  Ethical Guidelines and Professional Standards

  • 1.0  Resource Management Functions
    2.0  Microcomputer Architecture
    3.0  Microcomputer Software
    4.0  Network Technology

  • 1.0  Object Theory
    2.0  Models and Modeling
    3.0  Objects and Classes
    4.0  Object Models

    5.0  Development Methodologies – Historical Perspective

    6.0  OODLC

  • 1.0  Office Environment
    2.0  Office Technologies
    3.0  End-User Computing

  • 1.0  Data and File Organization
    2.0  Program Design
    3.0  Procedural Programming Structure
    4.0  Procedural Programming Considerations

    5.0  Integration with Hardware and Software

  • 1.0  Data Governance Concepts and Mission Drivers

    2.0  Legal and Regulatory Environment
    3.0  Data Governance and Stewardship Roles & Responsibilities
    4.0  Data Governance Inputs and Deliverables

    5.0  Fundamental Knowledge Areas for Public Sector Data Stewardship

  • 1.0  Computer System Engineering
    2.0  Software Project Planning
    3.0  Software Requirements
    4.0  Software Design

    5.0  Programming Languages and Coding

    6.0  Software Quality Assurance

    7.0  Software Testing Techniques

    8.0  Software Maintenance and Configuration Management

  • 1.0  Languages 
    2.0  Operating Systems
    3.0  Language Processing
    4.0  Concurrent and Distributed Processing

    5.0  Data Management Systems

    6.0  Computer Architecture and Implementation

    7.0  Performance Evaluation

    8.0  Software Tools

    9.0  System Management

  • 1.0  Systems Analysis
    2.0  Systems Design and Implementation
    3.0  The Systems Analyst as a Professional

  • 1.0  Risk Assessment
    2.0  Recovery from Information Service Interruptions
    3.0  Information and System Security
    4.0  Security in System Design

    5.0  Security Management

  • 1.0  General Page Design Concepts 
    2.0  General Server Concepts
    3.0  Development Tools / Environments
    4.0  Programming Languages

    5.0  Programming Concepts

    6.0  Project Management

    7.0  Site Management and Security

    8.0  Database and Data Access

    9.0  Internet and Communications Concepts

    10.0  File Formats Related to Web Development

  • 1.0  Zachman Enterprise Architecture Framework Concepts and Roles
    2.0  Planning for Zachman Enterprise Architecture Framework
    3.0  Zachman Framework Models Principles
    4.0  Zachman Framework Infrastructure Management

  • 1.0  Data Types
    2.0  Operators and Expressions
    3.0  Control Flow
    4.0  Functions
    5.0  Pointers and Arrays
    6.0  Structures and Unions
    7.0  Standard I/O Library
    8.0  Library Functions and Environment
    9.0  The Preprocessor

  • 1.0  B1. Basic Language Elements
    2.0  Expressions and Operators
    3.0  Flow Control
    4.0  Arrays and Pointers
    5.0  Object Oriented Programming
    6.0  Functions
    7.0  Exception Handling
    8.0  Standard Libraries
    9.0  The PreProcessor ASIC Language Elements
    10.0  Expressions and Operators
    11.0  Flow Control
    12.0  Arrays and Pointers
    13.0  Object Oriented Programming
    14.0  Functions
    15.0  Exception Handling
    16.0  Standard Libraries
    17.0  The Preprocessor

  • 1.0  General
    2.0  Data Description
    3.0  Data Manipulation
    4.0  Input/Output
    5.0  Flow of Control
    6.0  Other Language Features

  • 1.0  Java Technology
    2.0  Analyzing Problems and Designing Solutions
    3.0  Developing and Testing Java Technology
    4.0  Declaring, Intializing, and using Variables
    5.0  Creating and Using Objects
    6.0  Operators and Decision Constructs
    7.0  Methods
    8.0  Encapsulation and Constructors
    9.0  Arrays
    10.0  Inheritance
    11.0  Object-Oriented Programming

  • 1.0  JavaScript Technology
    2.0  Analyzing Problems and Designing Solutions
    3.0  Developing and Testing JavaScript Technology
    4.0  Declaring, Initializing, and using Variables
    5.0  Creating and using Objects
    6.0  Operators and Decision Constructs
    7.0  Methods
    8.0  Encapsulation and Constructors
    9.0  Arrays
    10.0  Inheritance
    11.0  Object-oriented Programming
    12.0  Advanced programming with JavaScript

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