Case Handling
SageMaker Technical
Bedrock Technical
Promo Doc
100

What does WL stand for?

WorkLog

100

How does SageMaker secure my code?

SageMaker stores code in ML storage volumes, secured by security groups and optionally encrypted at rest.

100

What types of data formats are accepted by Amazon Bedrock Knowledge Bases?

Supported data formats include .pdf, .txt, .md, .html, .doc and .docx, .csv, .xls, and .xlsx files. Files must be uploaded to Amazon S3. Point to the location of your data in Amazon S3, and Amazon Bedrock Knowledge Bases takes care of the entire ingestion workflow into your vector database.

100
How does Amazon determine promotion readiness?

When you are already performing at next level - Eg: L5.

200

When should I send a summary on the case?

Right After call or chat.
200

Is R supported with SageMaker?

Yes. You can use R within SageMaker notebook instances, which include a preinstalled R kernel and the reticulate library.

200

Does Amazon Bedrock support continued pretraining?

We launched continued pretraining for Amazon Titan Text Express and Amazon Titan models on Amazon Bedrock. Continued pretraining allows you to continue the pretraining on an Amazon Titan base model using large amounts of unlabeled data.

200

How many feedback providers do I need?

You need at least 6 and should be mix of TAMs, SA, ST, SXO, OM etc.

300

I just received a Sev5 case, what should my next steps be.

Send first response and update C2R via case notes.

300

How does SageMaker Studio pricing work?

There is no additional charge for using SageMaker Studio. You pay only for the underlying compute and storage charges on the services that you use within SageMaker Studio.

300

How can I track the input and output tokens?

You can use CloudWatch metrics to track the inputs and output token.

300

How do I determine if I am ready for promo?

Role guideline and reviewing the section "moving to CSE-II" will help. 

400
As for due diligence, what should be done before escalating a ticket to Support ops or Service Team.

Reach out to PSAP or Service Expert for an extra set of eyes.

400

Can I see the model weights and scripts of proprietary models with SageMaker JumpStart?

No. Proprietary models do not allow customers to view model weights and scripts.

400

Is the content processed by Amazon Bedrock moved outside the AWS Region where I am using Amazon Bedrock?

Any customer content processed by Amazon Bedrock is encrypted and stored at rest in the AWS Region where you are using Amazon Bedrock.

400

What are the four areas of Impact needed on the promo doc.

Team Impact, Customer Impact, Operational Excellence and Technical Proficiency.

500

TT was Pending Customer response status, I have gotten a response from customer. What should my next steps be?

Flip the TT to Assigned and add the last engineer who asked for the info to watcher's list, wait for a day before escalating.

500

What is Amazon SageMaker HyperPod?

SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training. It provides a more resilient infrastructure optimized for large-scale distributed training, allowing you to train on thousands of accelerators faster. It automatically detects, diagnoses, and recovers from the faults, so you can train FMs for months at a time without disruption.

500

Which FMs are available on Amazon Bedrock? 

  • AI21 Labs: Jurassic – 2 Ultra, Jurassic – 2 Mid
  • Anthropic: Claude 3 Opus, Claude 3 Sonnet, Claude 3 Haiku
  • Cohere: Command R, Command R+, Embed
  • Meta: Llama 3 8B, Llama 3 70B
  • Mistral AI: Mistral 8X7B Instruct, Mistral 7B Instruct, Mistral Large, Mistral Small
  • Stability AI: Stable Diffusion XL 1.0
  • Amazon Titan: Amazon Titan Text Premier, Amazon Titan Text Express, Amazon Titan Text Lite, Amazon Titan Text Embeddings, Amazon Titan Text Embeddings V2, Amazon Titan Multimodal Embeddings, Amazon Titan Image Generator
500

What is the word count limit on promo docs?

1500 as the limit with 10% allowance.