Trails for AWS CloudTrail Getting Started

Course description In this course, you will learn the benefits and technical concepts of trails for AWS CloudTrail. Using trails for CloudTrail, you can archive, analyze, and respond to changes in your Amazon Web Services (AWS) resources. A trail is a configuration that helps deliver CloudTrail events to an Amazon Simple Storage Service (Amazon S3) bucket that you specify. In this course, you will also review the basics of trails for CloudTrail and the business and technical challenges it can solve. ‐ Course level: Fundamental ‐ Duration: 1 hour Activities This course includes presentations, demonstrations, and knowledge checks. Course objectives In this course, you will learn to: ‐ Understand the basic technical concepts of trails for CloudTrail. ‐ Understand both the business and technical challenges of trails for CloudTrail. ‐ Create a trail and query logs. Intended audience This course is intended for: AWS customers, partners, and internal resources who want to better understand how trails for CloudTrail can help them operate AWS solutions at scale. Prerequisites We recommend that attendees of this course have the following: ‐ A basic understanding of AWS offerings ‐ Completed the Getting Started with AWS CloudTrail course Course outline ‐ Introduction to Trails for CloudTrail ‐ Architecture and Use Cases ‐ How Do I Create a Trail in AWS CloudTrail in the AWS Management Console? ‐ How Do I Query AWS CloudTrail Logs? ‐ How Do I Use AWS CLI with Trails for CloudTrail? ‐ How Do I Delete Resources?

Choosing Serverless Containers for .NET

​In this course, you will learn how to choose the most suitable serverless container technology to run your .NET applications and workloads. Specifically, you will learn about the key features and benefits of AWS Fargate, AWS App Runner, and AWS Lambda.   •       Course level: Fundamental •       Duration: 1 hour   Activities This course includes the following: […]

Introduction to Building with AWS Databases

This self-paced digital course explores the various databases that Amazon Web Services (AWS) offers and helps you understand how each of them solve unique business problems. It introduces you to AWS recommended best practices when designing solutions with AWS databases, and common tools for data migration. This course is designed to help you learn the fundamentals of choosing the right database to support your use case. •Course level: Fundamental •Duration: 3 hours Course objectives: By the end of this course, you will be able to do the following: •Discuss the AWS Well-Architected Framework and how to build database solutions around it. •Identify different data categories, and determine alignment to AWS database services. •Compare and categorize AWS relational and nonrelational database services. •Identify methods of migrating data to AWS. •Describe server-based and serverless architectures, including use cases for each type. •Determine the right database to support a given application requirement. Intended audience: This course is intended for the following: •Database architects •Developers •IT managers •Data engineers •Business leaders •Learners preparing to take the 3-day instructor-led training Planning and Designing Databases Prerequisites: We recommend the following prerequisites for learners of this course: •Familiarity with cloud computing concepts •Familiarity with general networking and encryption concepts Course outline: Course Introduction •Course overview •Course pre-assessment Module 1: AWS Well-Architected Framework •AWS Well-Architected Framework overview •AWS Well-Architected Framework and the six pillars •AWS Well-Architected Tool Module 2: Date Types •Understanding your data Module 3: AWS Database Services •Database services offered by AWS Module 4: Amazon Relational Databases •Relational database introduction •Amazon Relational Database Service (Amazon RDS) •Amazon Aurora Module 5: AWS Nonrelational Databases •Nonrelational database introduction •Amazon DynamoDB •Amazon Keyspaces (for Apache Cassandra) •Amazon DocumentDB •Amazon MemoryDB for Redis •Amazon Timestream •Amazon Quantum Ledger Database (Amazon QLDB) •Amazon ElastiCache •Amazon Neptune Module 6: Data Access and Analysis •Data access and analysis introduction •Amazon Redshift •Amazon Athena Module 7: Choosing the Right Database •Choosing the right database activity Module 8: AWS Migration Tools •Database migration Module 9: Database Architecture •Architecture overview •Server-based architecture •Serverless architecture Module 10: Course Summary •Course summary •Course post-assessment

AWS Certification Subject Matter Expert Training

This course teaches you the standards and guidelines for developing items for AWS Certification exams. It outlines the overall exam development process; defines your role in the process; identifies valid item types and their components; identifies and defines item-writing standards, guidelines, and best practices; and provides guidance for validating and defending exam items. Course level: Intermediate Duration: 150 minutes Activities This course includes presentations and assessments. Course objectives In this course, you will learn to: – Author psychometrically sound, legally defensible exam items (questions) – Identify cognitive levels and understand their relevance to exam objective – Author items that align to the appropriate exam level and cognitive level – Author items that align to the appropriate job role – Validate the technical accuracy of exam items Intended audience This course is intended for: – AWS technical subject matter experts – AWS Certification Exam Development program managers – AWS Certification Practice Exams program managers – AWS Certification technical architects Prerequisites We recommend that attendees of this course have: – A current, valid AWS certification – A minimum of two years of hands-on experience designing solutions, developing and deploying applications, and running or managing workloads on the AWS Cloud Course outline Module 1: Introduction Module 2: Certification Fundamentals – Exam security – Overview of the exam development process – The minimally qualified candidate (MQC) – The content outline – The exam guide Module 3: Standard Certification Considerations – Introduction – Characteristics of an effective exam – Characteristics of an effective item – Components of an item – Acceptable item types – Specific guidelines for item elements – Effective items: – Deep dive – Fairness Module 4: Cognitive Complexity and Job Roles – Introduction to cognitive complexity – Cognitive complexity by exam level – Writing items for roles Module 5: General Guidelines and Best Practices – Introduction – Question structure – Response options – Multiple-response item stems – Items about cost – Subjective qualifiers – Memorization – AWS focus – Portraying AWS in a negative light – Cues for keys – Trick questions – Testing, not teaching Module 6: Getting Started (4 slides) – Considerations – Conclusion

Amazon Simple Storage Service (Amazon S3) Storage Classes Deep Dive

We have updated this course on October 20th, 2022 to correct a problem that was impacting course completion. If you are enrolled in the course and have not completed it, your progress may be impacted. We apologize for any inconvenience this may cause. Amazon S3 offers a range of storage classes for different use cases. Did you ever ask yourself what the differences are between the available storage classes in Amazon S3 and which storage class you should choose? In this course, you learn about the storage classes available in Amazon S3 and to recognize the similarities and differences amongst the storage classes. You also learn to identify the pricing dimensions associated with each storage class. Through comparing the storage class features and pricing dimensions you learn to identify the optimal storage class to use for your workloads. •Course level: Intermediate •Duration: 1 hour Activities: This course includes online materials and a knowledge check questions. Course objectives: In this course, you will learn to: •Describe Amazon S3 storage class characteristics and use cases •Compare and contrast Amazon S3 storage classes Intended audience: This course is intended for: •Cloud architects •Storage architects •Developers •Operations engineers Prerequisites: We recommend that attendees of this course have: •Completed Getting Started with Amazon Simple Storage Service (Amazon S3) •Completed Getting Started with AWS Storage Course outline: Section 1: Overview •Lesson 1: How to Use This Course •Lesson 2: Course Introduction Section 2: Amazon Simple Storage Service Storage Classes •Lesson 3: Amazon S3 Storage Classes Section 3: Changing Data Storage Classes •Lesson 4: Storage Classes for Frequently Accessed Data •Lesson 5: Storage Classes for Infrequently Accessed Data •Lesson 6: Storage Classes for Unknown or Changing Access Section 4: Archival Storage Classes •Lesson 7: Storage Classes for Archiving Objects •Lesson 8: Amazon S3 Pricing •Lesson 9: Storage Class Performance Comparison Chart Section 5: Assessment •Lesson 10: Knowledge Check Questions Section 6: Feedback •Lesson 21: Feedback