Final Exam: Chaos Engineer Overview/Description Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description Final Exam: Chaos Engineer will test your knowledge and application of the topics presented throughout the Chaos Engineer track of the Skillsoft Aspire Network Admin to Site Reliability Engineer Journey.
Expected Duration (hours)
0.0
Lesson Objectives Final Exam: Chaos Engineer
describe challenges for maintaining data integrity
describe CRON and how to use it for scheduling jobs
describe CRON Jobs and its components
describe deterministic and non-deterministic algorithms and how they relate to distributed systems
describe frontend load balancing and the importance of using them to increase performance
describe how engineers think differently to "novices" when it comes to troubleshooting
describe how load balancing needs to be performed taking into consideration virtualization, the cloud, and containers
describe how loads can be balanced using External HTTPS Load Balancing
describe how loads can be balanced using SSL Proxy Load Balancing
describe how loads can be balanced using TCP Proxy Load Balancing
describe how server overloads can lead to cascading failure
describe load balancing techniques and algorithms
describe operational loads and how they related to optimal performance
describe steps to ensure efficient queue management
describe the benefits of client-side throttling
describe the characteristics and purpose of blackbox monitoring
describe the characteristics and purpose of whitebox monitoring
describe the CRON syntax and provide syntax examples
describe the importance of incident response training
describe the mean time between failures metric
describe the meantime to respond metric
describe the system models that can be used with distributed systems
describe when to use acceptance testing
differentiate between idempotent and two-phase mutations
differentiate between the various pipeline features
discuss software testing at scale
identify the system models that can be used with distributed systems
list characteristics of machine learning (ML) applications
list CPU considerations as it relates to failures and overutilization
list data integrity requirements
list potential pitfalls to avoid, such as looking for symptoms that are not relevant
list the main roles in incident response (Incident Commander, Communications Lead, Operations Lead)
outline an idealized troubleshooting model (e.g., report, triage, examine, diagnose, test/treat, and cure.)
outline best practices and approaches to troubleshooting and how to keep those skills sharp
outline the benefits of using tickets
outline the process and purpose of logging and name the benefits of text logs
provide a general overview of the six steps involved in developing a plan
provide an overview of a typical development lifecycle
provide an overview of backup and recovery methods
provide an overview of business continuity and describe why business continuity planning matters
provide an overview of data integrity
provide an overview of Google Workflow
provide an overview of key principles SREs need to be familiar with for emergency response and recognize key steps to take when a system breaks
provide an overview of pages
provide an overview of resources exhaustion
provide an overview of the checkpointing technique
provide an overview of the maturity matrix
provide an overview of the meantime to failure metric
provide an overview of the production readiness review process
recognize aspects of the SRE engagement model
recognize best practices for handling unmanaged incidents
recognize how to create and maintain pipeline documentation
recognize how to create a test and build an environment
recognize how to develop a launch checklist
recognize how to identify cascading failures
recognize key factors to ensuring business continuity
recognize the importance of encouraging proactive testing
recognize the importance of incident response planning
recognize the importance of testing SRE-developed tools
recognize the pitfalls of the queries per second metric
Course Number: it_fesre_03_enus
Expertise Level
Intermediate