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AZ-400 > AZ-400 Cloud Guru Notes > Flashcards

AZ-400 Cloud Guru Notes Flashcards

1
Q

What is reliability?

A

Access app when & how expected

  • Availability
  • Performance
  • Latency
  • Security
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2
Q

How to measure reliability?

A
  • Determine acceptable uptimes
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3
Q

Define SLA, SLO and SLI

A

Service Level Agreement - agreement around availability

Service Level Objective - goal service wants to reach to meet agreement

Service Level Indicator - metrics used to meet commitment

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4
Q

What is Site Reliability Engineering?

A

Engineers working the full stack so same devs who wrote code fix issues and automate performance checks

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5
Q

Key concepts of SRE

A

Feedback - loops for continuous improvement
Measure everything - collect data on how everything is working
Alerts - use data to create alerts
Automation - automate as much as possible to reduce alerts
Small changes - fixes little and often
Risk - embrace risk to learn from problems

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6
Q

Azure Monitor

A

Central location to gather info from app, infrastructure and Azure resources

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7
Q

Azure Monitor collects?

A

Metrics - Data that measures how system is performing at a certain time
Logs - Messages about certain events in a system

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8
Q

Metrics usage

A

Visualise data in Metric explorer, save to dashboard/workbook
Anaylse performance
Alert if resource reaches threshold
Automate action based on metrics e.g. autoscaling

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9
Q

What can app insights provide?

A
  • App exceptions
  • App dependencies
  • Performance information
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10
Q

URL ping test

A

Send HTTP req to specific URL to test availability
Lets you know duration and success rate
Enable retries recommended
Can have multiple test locations
Can have alerts

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11
Q

What is an action group?

A

Tells you who to notify and how

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12
Q

What is failure mode analysis?

A

Find single points of failure
Rate risk and severity
Determine response - respond and recover

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13
Q

What are fault points and fault modes?

A

Fault points - any place where architecture can fail
Fault modes - all the way a fault point can failW

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14
Q

What is a fault domain?

A

Make sure resources are hosted on separate racks in centres

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15
Q

What is load testing vs stress testing?

A

Load - normal to heavy load tests
Stress - upper limit tests

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16
Q

What is a baseline?

A

Determine a healthy state - gives a starting point of health of application checks
Makes it easier to determine effects of adding or changing things

17
Q

How are baselines created?

A
  • Log analytics and metrics explorer - analyze data
  • Azure monitor insights - provides recommended metrics & dashboards for Azure services
  • App insights - provides same as monitor but for app itself
18
Q

Dynamic threshold alert advantages

A
  • Machine learning picks up expected behavior against metrics
  • Don’t have to manually figure out thresholds
  • Can set it and forget it for rules
19
Q

App insights smart detection

A

Uses machine learning to detect anomalies with telemetry data
Built in - configured automatically with enough time and data
Creates alert independently using smart detection findings

20
Q

What can smart detection help with?

A

Failures/failure rates - figures out expected number of failures. Gives continuous monitoring and provides context. Min data & 24hour telemetry for baseline

Performance - page response testing, does daily analysis in case of false positives. Min data & 8 days telemetry for baseline

21
Q

What are dependencies?

A

To HTTP, db or file system calls
Internal vs external - use of libraries (internal), use of APIs (external)
Strong vs weak - strong can cause breaking failure, weak will still run but with limited features

22
Q

App insights dependency tracking on .NET

A

Tracking configured by default on .NET and .NET Core
Some need manual configuration

23
Q

What are app insights dependency data?

A

App map - of dependencies
Transaction diagnostics - track as they pass through different systems
Browsers - see calls
Log analytics - create custom queries against dep data

24
Q

App dependencies on VMs

A

Enable dependency agent on VM

Processes - Shows dependencies looking for servers, inbound/outbound latency, TCP ports
Views -different scopes from Vms, scale sets or from Azure monitor

25
Q

How often performance alerts analysed?

A

Once a day in case of false positives (i.e. expected spikes)

26
Q

What is TFVC?

A

Team Foundation Version Control
Developers check out the only version of the file on a machine, unlike Git.

27
Q

what level does Azure Repo work at?

A

Project level
Supports Git and TFVC
Optional component for Azure pipeline - other repos/version control can be used

28
Q

What is a submodule?

A

Add third part libraries as an external resource that can still be integrated

29
Q

What is scalar?

A

Git projects struggle to scale at larger sizes
Scalar helps reduce data transfer, cmd runtime, helps index relevant files & organise

30
Q
A

AZ-400 (3 decks)

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