Study To Do List
Daily To Do List:
Due February 29, 2024Learning Path
Book 1 – ITIL ® 4 Essentials by CLAIRE AGUTTER
CHAPTER 1: KEY CONCEPTS OF SERVICE MANAGEMENT
CHAPTER 2: SERVICE MANAGEMENT ROLES
CHAPTER 3: ALL ABOUT SERVICES
CHAPTER 4: SERVICE RELATIONSHIPS
CHAPTER 5: THE FOUR DIMENSIONS OF SERVICE MANAGEMENT
CHAPTER 6: THE SERVICE VALUE SYSTEM
CHAPTER 7: THE SVS: OPPORTUNITY, DEMAND, VALUE
CHAPTER 8: THE SVS: GUIDING PRINCIPLES
CHAPTER 9: THE SVS: GOVERNANCE
CHAPTER 10: THE SVS: THE SERVICE VALUE CHAIN
CHAPTER 11: ITIL PRACTICES INTRODUCED
CHAPTER 12: GENERAL MANAGEMENT PRACTICES
CHAPTER 13: SERVICE MANAGEMENT PRACTICES
CHAPTER 14: TECHNICAL MANAGEMENT PRACTICES
CHAPTER 15: SERVICE MANAGEMENT TRAINING AND QUALIFICATIONS
CHAPTER 16: MULTIPLE-CHOICE EXAM STRATEGIES
CHAPTER 2: SERVICE MANAGEMENT ROLES
CHAPTER 3: ALL ABOUT SERVICES
CHAPTER 4: SERVICE RELATIONSHIPS
CHAPTER 5: THE FOUR DIMENSIONS OF SERVICE MANAGEMENT
CHAPTER 6: THE SERVICE VALUE SYSTEM
CHAPTER 7: THE SVS: OPPORTUNITY, DEMAND, VALUE
CHAPTER 8: THE SVS: GUIDING PRINCIPLES
CHAPTER 9: THE SVS: GOVERNANCE
CHAPTER 10: THE SVS: THE SERVICE VALUE CHAIN
CHAPTER 11: ITIL PRACTICES INTRODUCED
CHAPTER 12: GENERAL MANAGEMENT PRACTICES
CHAPTER 13: SERVICE MANAGEMENT PRACTICES
CHAPTER 14: TECHNICAL MANAGEMENT PRACTICES
CHAPTER 15: SERVICE MANAGEMENT TRAINING AND QUALIFICATIONS
CHAPTER 16: MULTIPLE-CHOICE EXAM STRATEGIES
Book 2 – ITIL 4 Foundation Certified in 7 Days
DAY 1 Approximate Study Time: 1 hour and 12 minutes
DAY 2 Approximate Study Time: 1 hour and 37 minutes
DAY 3 Approximate Study Time: 1 hour and 47 minutes
DAY 4 Approximate Study Time: 1 hour and 33 minutes
DAY 5 Approximate Study Time: 1 hour and 12 minutes
DAY 6 Approximate Study Time: 1 hour and 34 minutes
DAY 7 Approximate Study Time: 1 hour and 7 minutes
Chapter 1 – 25 minutes
Chapter 2 – 47 minutes
Chapter 2 – 47 minutes
DAY 2 Approximate Study Time: 1 hour and 37 minutes
Chapter 3 – 53 minutes
Chapter 4 – 44 minutes
Chapter 4 – 44 minutes
DAY 3 Approximate Study Time: 1 hour and 47 minutes
Chapter 5 – 41 minutes
Chapter 6 – 60 minutes
Chapter 7 – 6 minutes
Chapter 6 – 60 minutes
Chapter 7 – 6 minutes
DAY 4 Approximate Study Time: 1 hour and 33 minutes
Chapter 8 – 25 minutes
Chapter 9 – 37 minutes
Chapter 10 – 31 minutes
Chapter 9 – 37 minutes
Chapter 10 – 31 minutes
DAY 5 Approximate Study Time: 1 hour and 12 minutes
Chapter 11 – 1 hour and 12 minutes
DAY 6 Approximate Study Time: 1 hour and 34 minutes
Chapter 12 – 42 minutes
Chapter 13 – 52 minutes
Chapter 13 – 52 minutes
DAY 7 Approximate Study Time: 1 hour and 7 minutes
Chapter 14 – 46 minutes
Chapter 15 – 21 minutes
Chapter 15 – 21 minutes
Exam date: Monday, March 15, 2024 (PDT)
Outcome: PASSED!
![Axcelos ITIL v4 Foundation badge](/wp-content/uploads/2024/07/itil-foundation-badge-large.png?w=776)
Learning Path
Monday, February 12, 2024
Microsoft Azure Data Fundamentals: Explore core data concepts
Explore core data concepts 30 min Module 8 Units
Data powers the digital transformation that is sweeping across organizations and society in general. But what is “data”, and how is it represented and used?
Introduction 1 min
Identify data formats 5 min
Explore file storage 5 min
Explore databases 5 min
Explore transactional data processing 5 min
Explore analytical data processing 5 min
Knowledge check 3 min
Summary 1 min
Explore data roles and services 15 min Module 5 Units
Identify data formats 5 min
Explore file storage 5 min
Explore databases 5 min
Explore transactional data processing 5 min
Explore analytical data processing 5 min
Knowledge check 3 min
Summary 1 min
Data professionals perform distinct roles in building and managing software solutions, and work with multiple technologies and services to do so.
Introduction 1 min
Explore job roles in the world of data 5 min
Identify data services 5 min
Knowledge check 3 min
Summary 1 min
Explore job roles in the world of data 5 min
Identify data services 5 min
Knowledge check 3 min
Summary 1 min
Tuesday, February 13, 2024
❤️ Wednesday, February 14, 2024 ❤️
Microsoft Azure Data Fundamentals: Explore relational data in Azure
Explore fundamental relational data concepts 37 min Module 7 Units
Data professionals perform distinct roles in building and managing software solutions, and work with multiple technologies and services to do so.
Introduction 2 min
Understand relational data 6 min
Understand normalization 6 min
Explore SQL 10 min
Describe database objects 9 min
Knowledge check 3 min
Summary 1 min
Explore relational database services in Azure 36 min Module 6 Units Understand relational data 6 min
Understand normalization 6 min
Explore SQL 10 min
Describe database objects 9 min
Knowledge check 3 min
Summary 1 min
Microsoft Azure provides multiple services for relational databases. You can choose the relational database management system that’s best for your needs, and host relational data in the cloud.
Introduction 1 min
Describe Azure SQL services and capabilities 10 min
Describe Azure services for open-source databases 6 min
Exercise: Explore Azure relational database services 15 min
Knowledge check 3 min
Summary 1 min
Describe Azure SQL services and capabilities 10 min
Describe Azure services for open-source databases 6 min
Exercise: Explore Azure relational database services 15 min
Knowledge check 3 min
Summary 1 min
❤️ Wednesday, February 14, 2024 ❤️
Microsoft Azure Data Fundamentals: Explore non-relational data in Azure
Thursday, February 15, 2024
Exam date: Monday, April 12, 2024 (PDT)
Outcome: PASSED!
Next Quarter
Explore Azure Storage for non-relational data 38 min Module 8 Units
Microsoft Azure provides multiple services for relational databases. You can choose the relational database management system that’s best for your needs, and host relational data in the cloud.
Introduction 1 min
Explore Azure blob storage 4 min
Explore Azure DataLake Storage Gen2 3 min
Explore Azure Files 3 min
Explore Azure Tables 8 min
Exercise: Explore Azure Storage 15 min
Knowledge check 3 min
Summary 1 min
Explore fundamentals of Azure Cosmos DB 31 min Module 6 UnitsExplore Azure blob storage 4 min
Explore Azure DataLake Storage Gen2 3 min
Explore Azure Files 3 min
Explore Azure Tables 8 min
Exercise: Explore Azure Storage 15 min
Knowledge check 3 min
Summary 1 min
Azure Cosmos DB provides a highly scalable store for non-relational data.
Introduction 1 min
Describe Azure Cosmos DB 5 min
Identify Azure Cosmos DB APIs 6 min
Exercise: Explore Azure Cosmos DB 15 min
Knowledge check 3 min
Summary 1 min
Describe Azure Cosmos DB 5 min
Identify Azure Cosmos DB APIs 6 min
Exercise: Explore Azure Cosmos DB 15 min
Knowledge check 3 min
Summary 1 min
Thursday, February 15, 2024
Microsoft Azure Data Fundamentals: Explore data analytics in Azure
Explore fundamentals of large-scale analytics 1 hr 32 min Module 10 Units
Organizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. Microsoft provides multiple technologies that you can combine to build a large scale data analytics solution.
Introduction 1 min
Explore Azure blob storage 4 min
Explore Azure DataLake Storage Gen2 3 min
Explore Azure Files 3 min
Explore Azure Tables 8 min
Exercise: Explore Azure Storage 15 min
Knowledge check 3 min
Summary 1 min
Explore fundamentals of real-time analytics 1 hr 21 min Module 11 UnitsExplore Azure blob storage 4 min
Explore Azure DataLake Storage Gen2 3 min
Explore Azure Files 3 min
Explore Azure Tables 8 min
Exercise: Explore Azure Storage 15 min
Knowledge check 3 min
Summary 1 min
Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.
Introduction 1 min
Understand batch and stream processing 9 min
Explore common elements of stream processing architecture 4 min
Explore Azure Stream Analytics 2 min
Exercise: Explore Azure Stream Analytics 15 min
Explore Apache Spark on Microsoft Azure 3 min
Exercise: Explore Spark Streaming in Azure Synapse Analytics 15 min
Explore Realtime Analytics in Microsoft Fabric 3 min
Exercise: Explore Realtime Analytics in Microsoft Fabric 25 min
Knowledge check 3 min
Summary 1 min
Explore fundamentals of data visualization 38 min Module 7 UnitsUnderstand batch and stream processing 9 min
Explore common elements of stream processing architecture 4 min
Explore Azure Stream Analytics 2 min
Exercise: Explore Azure Stream Analytics 15 min
Explore Apache Spark on Microsoft Azure 3 min
Exercise: Explore Spark Streaming in Azure Synapse Analytics 15 min
Explore Realtime Analytics in Microsoft Fabric 3 min
Exercise: Explore Realtime Analytics in Microsoft Fabric 25 min
Knowledge check 3 min
Summary 1 min
Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.
Introduction 1 min
Describe Power BI tools and workflow 3 min
Describe core concepts of data modeling 5 min
Describe considerations for data visualization 5 min
Exercise – Explore fundamentals of data visualization with Power BI 20 min
Knowledge check 3 min
Summary 1 min
Describe Power BI tools and workflow 3 min
Describe core concepts of data modeling 5 min
Describe considerations for data visualization 5 min
Exercise – Explore fundamentals of data visualization with Power BI 20 min
Knowledge check 3 min
Summary 1 min
Exam date: Monday, April 12, 2024 (PDT)
Outcome: PASSED!
Next Quarter