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An Apigee Professional API Engineer designs, builds, and maintains API proxies. The API Engineer responsibilities include cross-cutting business concerns like authentication, authorization, monitoring, logging, governance, and documentation. API Engineers also consider API design features like consistency, usability, and versioning. Finally, the API Engineer measures and drives success of the API program and is responsible for the documentation, promotion, and evangelism of its products.

Exam Name: Google Cloud - Apigee Certified API Engineer

Number of Questions: 110 Questions

Length: 120 minutes

Pass Score: 70%

Cost: $200

Languages: English

Using consistent and intuitive naming across all APIs

Modeling resources based on business concepts rather than internal terminology

API-first approach

Designing API resources and actions from consumer point-of-view

Understanding API versioning models and breaking changes

Determining appropriate level of orchestration for efficient API request flows

Scoping access controls

Choosing meaningful and consistent resource names

Knowing when to push REST or accept legacy designs

Using HTTP verbs appropriately and consistently

Designing RESTful URI paths

Choosing between path, payload, headers, and query parameters

API paging design

Documenting APIs

Creating and using OpenAPI Specifications

Building a community for API programs

Implementing proxy and target flows

Methods for calling backend services

Fault handling and error conditions

Mediation strategies, including:

SOAP to REST

Converting between XML and JSON

Extracting data from payloads

Mashups

Using caching to improve latency and reduce backend load

Extending functionality using code

API configuration using key-value maps and target servers

API logging and custom attributes for analytics

Securing APIs via OAuth, SAML, basic authentication, and IP-based access control

Protecting against traffic spikes

Detecting content-based attacks

Transport layer security via one-way and two-way TLS

Data masking

Role-based access control for Edge

Understanding the performance characteristics of policies

Tracing calls within Edge

Analysis of target and proxy performance

Implementing API performance benchmarks

Cache performance analysis and tuning

Automating build, deployment, and configuration

Automating unit and integration tests

Implementing static code analysis

Organization and environment strategies for proxy SDLC

Identifying API products based on business needs

Configuring quotas

Extending product functions using custom attributes

Challenging legacy assumptions

Writing API user stories

Decoding business stories and finding resources and properties

Writing consumption-based API test scenarios