Prepare with Snowflake : GES-C01 exam braindumps as your best preparation materials

Snowflake GES-C01 Exam Overview:

Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

Question 1

An enterprise is deploying a new RAG application using Snowflake Cortex Search on a large dataset of customer support tickets. The operations team is concerned about managing compute costs and ensuring efficient index refreshes for the Cortex Search Service, which needs to be updated hourly. Which of the following considerations and configurations are relevant for optimizing cost and performance of the Cortex Search Service in this scenario?

A. The
B. For embedding text, selecting a model like

C. For optimal performance and cost efficiency, Snowflake recommends using a dedicated warehouse of size no larger than MEDIUM for each Cortex Search Service.
D. The primary cost driver for Cortex Search is the number of search queries executed against the service, with the volume of indexed data (GBImonth) having a minimal impact on overall billing.
E. CHANGE_TRACKING

Question 2

A data engineer is configuring a Document AI pipeline to process scanned PDF invoices stored in an internal stage named 'invoice_docs_stage'. After uploading the PDF files, they execute an extracting query using '!PREDICT. The query consistently returns the error:

Which of the following is the most likely cause of this error?

A. The internal stage was not created with 'SNOWFLAKE_SSE' encryption enabled.
B. The documents contain non-English text, which is not fully supported by Document AI for optimal results.
C. The 'GET_PRESIGNED_URL' function used in the '!PREDICT query has an expired URL.
D. The Document AI model build is attempting to process more than 1000 documents in a single query.
E. The PDF documents exceed the maximum allowed file size of 50 MB.

Question 3

A Gen AI Specialist is setting up AI Observability for a new generative AI application in Snowflake to monitor its performance and debug issues. The application is built in Python. Which of the following prerequisites must be met to enable tracing for this application?

A. The application must run exclusively within a Snowflake Notebook for observability features to function.
B. The account role used must be granted the SNOWFLAKE. CORTEX_USER database role.
C. The role used for creating and executing runs must have the CREATE EXTERNAL AGENT privilege on the schema.
D. The Python project requires installation of trulens-core and trulens-connectors-snowflake packages, with versions earlier than 2.1.2.
E. The Python environment must have the TRULENS_OTEL_TRACING environment variable set to o before connecting to Snowflake.

Question 4

A Gen AI Specialist is setting up Snowpark Container Services (SPCS) to host a custom open-source LLM. They need to understand the fundamental nature and constraints of image repositories within Snowflake. Which of the following statements accurately describe image repositories in Snowflake's Snowpark Container Services?

A. An image repository in Snowflake is an OCIv2 compliant service used exclusively for storing Docker images, not other OCI-compliant container images.
B. The maximum compressed layer size for an image registry is consistent across all cloud providers and regions, typically 160 GiB.
C. Dropping individual images from a repository is supported, allowing for granular management of stored container images.
D. Image repositories are storage units within an image registry service, and they are used to store OCI-compliant container images.
E. Image repositories are primarily used for storing pre-trained Snowflake ML models and do not support custom third-party container images.

Question 5

A global enterprise has Snowflake accounts in various regions, including a US East (Ohio) account where a critical application is deployed. They need to use AI_COMPLETE with the claude-3-5-sonnet model for real-time customer support, but this model is not natively available in US East (Ohio) for direct AI_COMPLETE usage. The Snowflake administrator considers enabling cross-region inference. Which statements accurately reflect the considerations and characteristics of cross-region inference in Snowflake Cortex?

A. The CORTEX_ENABLED_CROSS_REGION parameter can be configured at the session level to temporarily enable cross-region inference for specific workloads.
B. Setting the CORTEX_ENABLED_CROSS_REGION account parameter to 'ANY_REGION' in the US East (Ohio) account would enable inference requests for claude-3-5- sonnet to be processed in any region where it is natively available.
C. Cross-region inference automatically caches user inputs and generated outputs to reduce latency for subsequent requests to the same model.
D. Cross-region inference is not supported in U.S. SnowGov regions for either inbound or outbound inference requests.
E. Latency between regions for cross-region inference is negligible and consistently low, irrespective of cloud provider infrastructure.

Solutions: