MLA-C01 Exam Dumps : AWS Certified Machine Learning Engineer - Associate

Using Amazon EventBridge with an event pattern that matches S3 upload events provides an automated, low-effort solution. When new data is uploaded to the S3 bucket, the EventBridge rule triggers the SageMaker pipeline. This approach minimizes operational overhead by eliminating the need for custom scripts or external orchestration tools while seamlessly integrating with the existing S3 and SageMaker setup.

1️⃣ Simultaneous calls to the endpoint must reach models with the same configuration

Correct strategy: All at once traffic shifting

Why:

“All at once” replaces the old model with the new model immediately. After the switch, all concurrent requests hit only the new model configuration, guaranteeing configuration consistency across simultaneous calls.

2️⃣ The new model must receive only a fraction of the requests for validation before receiving all the traffic

Correct strategy: Canary traffic shifting

Why:

Canary deployments route a small percentage of traffic (for example, 5% or 10%) to the new model first. This allows validation of correctness and performance before shifting 100% of traffic.

3️⃣ Traffic to the new model must increase gradually to ensure that pipelines that rely on the endpoint do not fail because of changes in latency

Correct strategy: Linear traffic shifting guardrail

Why:

Linear traffic shifting gradually increases traffic in equal increments over time and includes guardrails (such as CloudWatch alarms) to automatically roll back if latency or errors exceed thresholds.

Step 1: Create a new model definition with updated settings by using the CreateModel action in the SageMaker AI API.

Step 2: Create a new endpoint configuration that uses the new model definition.

Step 3: Update the endpoint with the new endpoint configuration.

Do not delete and recreate the endpoint. That causes unnecessary inference interruption. SageMaker endpoint updates are designed to use a new EndpointConfig; AWS explicitly states that to update an endpoint, you must create a new endpoint configuration, then call UpdateEndpoint on the existing endpoint. During the update, SageMaker changes the endpoint to Updating and then back to InService.