AIMentor — AI Expertise Learning Platform

13 questions · pass mark 80% · 20 minute limit. The timer auto-submits at zero.

Time remaining: 20:00

Question 1easy
What is the core thesis of cross-cloud AI portability?
Each cloud requires a completely different skillsetAI concepts are portable across clouds; only the service names differOnly Azure can run AI workloadsYou must rewrite your app per cloud
Question 2medium
What is the Azure OpenAI equivalent on AWS?
Amazon BedrockAmazon S3AWS LambdaAmazon Redshift
Question 3medium
What is GCP's unified AI platform and its flagship model family?
Vertex AI, home to the Gemini models plus a Model GardenBigQuery, home to GPTCloud Storage, home to LlamaFirebase, home to Claude
Question 4medium
What is the AWS equivalent of Azure AI Search (managed RAG/retrieval)?
Bedrock Knowledge Bases (with OpenSearch)Amazon EC2AWS IAMAmazon SNS
Question 5medium
What distinguishes Amazon Bedrock among managed model services?
It only serves Amazon's own modelsIt offers a single API to many providers' models (Claude, Llama, Titan, Mistral, …)It cannot do RAGIt requires Kubernetes
Question 6medium
What is the Vertex AI equivalent of Bedrock Agents / Foundry Agent Service?
Vertex Agent BuilderBigQuery MLCloud FunctionsPub/Sub
Question 7hard
When choosing a cloud for a client, what is the dominant factor?
Which cloud you personally preferWhich cloud the client is already on — cross-cloud adds egress cost, latency, and frictionWhich has the coolest nameAlways pick the newest one
Question 8hard
When can model availability override the 'use the client's existing cloud' default?
NeverWhen a hard requirement for a specific model (e.g. Gemini→Vertex, a specific OpenAI model→Azure) forces the choiceOnly for image modelsOnly on weekends
Question 9hard
Which are correct cross-cloud equivalences? (Select all that apply)
Content safety: Azure AI Content Safety ↔ Bedrock Guardrails ↔ Vertex safety filtersSecrets: Key Vault ↔ AWS Secrets Manager ↔ GCP Secret ManagerManaged containers: Container Apps ↔ App Runner ↔ Cloud RunVector search only exists on Azure
Select all that apply.
Question 10medium
Why is skill portability across clouds itself a selling point for a consultant?
It lets you charge more for the same workYou can serve any client on their existing cloud and aren't locked to one vendor's ecosystemIt means you never have to learn anythingIt guarantees lower cloud bills
Question 11hard
What is a caution when relying on the cross-cloud service map?
The shapes match, but specifics (region availability, limits, pricing) differ — verify per serviceThe map is illegal to useOnly Azure services are realThere are no equivalents at all
Question 12medium
Name AWS's managed model service that offers many providers' models through one API.
Question 13medium
Name GCP's unified AI platform (two words) that hosts Gemini and a Model Garden.

0 / 13 answered

Cloud Equivalents (AWS & GCP) — Final Exam