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Snowflake GES-C01최고품질시험덤프자료 & GES-C01최신시험대비자료

Pass4Test의Snowflake GES-C01덤프는 레알시험의 모든 유형을 포함하고 있습니다.객관식은 물론 드래그앤드랍,시뮬문제등 실제시험문제의 모든 유형을 포함하고 있습니다. Snowflake GES-C01덤프의 문제와 답은 모두 엘리트한 인증강사 및 전문가들에 의하여 만들어져Snowflake GES-C01 시험응시용만이 아닌 학습자료용으로도 손색이 없는 덤프입니다.저희 착한Snowflake GES-C01덤프 데려가세용~!

Pass4Test의 Snowflake GES-C01 덤프로 시험을 준비하면Snowflake GES-C01시험패스를 예약한것과 같습니다. 가장 최근 출제된Snowflake GES-C01시험문제를 바탕으로 만들어진 적중율 최고인 덤프로서 간단한 시험패스는 더는 꿈이 아닙니다. 덤프는 pdf파일과 온라인서비스로 되어있는데 pdf버전은 출력가능하고 온라인버전은 휴대폰에서도 작동가능합니다.

>> Snowflake GES-C01최고품질 시험덤프자료 <<

시험준비에 가장 좋은 GES-C01최고품질 시험덤프자료 최신 덤프공부

인테넷에 검색하면 Snowflake GES-C01시험덤프공부자료가 헤아릴수 없을 정도로 많이 검색됩니다. 그중에서Pass4Test의Snowflake GES-C01제품이 인지도가 가장 높고 가장 안전하게 시험을 패스하도록 지름길이 되어드릴수 있습니다.

최신 Snowflake Certification GES-C01 무료샘플문제 (Q251-Q256):

질문 # 251
An organization has implemented a strict governance policy where the 'ACCOUNTADMIN' has set the 'CORTEX MODELS ALLOWLIST' to only permit 'gemma-7b' and 'llama3.1-8b' models. A developer then executes the following SQL statements in a Snowflake worksheet using 'TRY COMPLETE (SNOWFLAKE.CORTEX)". Assuming no specific RBAC model object grants are in place for the developer's role, what would be the outcome of these queries? SELECT

A. Only the first query will return a completion, as 'gemma-7W is the smallest and most readily available model, while the others will return 'NULL'.
B. The first and second queries will return completions, while the third will return 'NULL' due to potential resource constraints for larger models.
C. All three queries will return because 'TRY COMPLETE' will always prioritize strict adherence to the allowlist and any model not explicitly listed is considered unavailable.
D. The first and third queries will return completions, but the second query will raise an error indicating an unauthorized model attempt.
E. The first query will return a completion, the second will return 'NULL' , and the third will return a completion.

정답：E

설명：
The parameter restricts which models can be used with The 'TRY_COMPLETE function executes the same operation as 'COMPLETE' but returns 'NULL' instead of raising an error when the operation cannot be performed. - The first query uses 'gemma-7b' , which is in the Therefore, it will execute successfully and return a completion. - The second query uses 'llama3.1-70b' , which is not in the configured 'CORTEX_MODELS_ALLOWLIST'. As a result, 'TRY COMPLETE will return 'NULL' because the model is not permitted by the allowlist. - The third query uses 'llama3.1-8b' , which is also in the 'CORTEX MODELS ALLOWLIST. Therefore, it will execute successfully and return a completion. Hence, option A accurately describes the outcome.

질문 # 252
A security architect is configuring access controls for a new custom role, 'document_processor_role' , which will manage Document AI operations within a designated database 'doc_processing_db' and schema 'doc_workflow_schema'. The goal is to grant only the minimum essential database-level role required to begin working with Document AI features.

정답：C

설명：
To work with Document AI, the database role must be granted to the account role. This role specifically enables creating Document AI model builds and working on document processing pipelines. Option A grants a more general Cortex user role, which is not the specific foundational role for Document AI. Option B grants access to all Cortex models, but not the foundational Document AI database role itself. Options D and E grant schema-level or warehouse-level privileges, which are also necessary but are not the database-level 'role' specifically for DocumentAI capabilities.

질문 # 253
A development team is constructing a Gen AI application using Snowflake Cortex LLM functions, particularly for conversational and text generation tasks. They are concerned about potential high costs due to token consumption. Which of the following strategies would most effectively help minimize token usage and optimize costs when working with these Cortex LLM functions?

A. Option C
B. Option E
C. Option B
D. Option D
E. Option A

정답：A,B,C

설명：
Option B is correct because while schema validation itself doesn't incur extra cost, a large or complex schema can increase token consumptiom Providing precise and concise descriptions for schema fields helps the LLM understand and adhere to the desired format more efficiently, potentially reducing the overall tokens consumed for accurate responses. Option C is correct as the 'COUNT_TOKENS function allows developers to determine the token count of an input prompt for a specific model, enabling them to pre-emptively avoid exceeding the model's context window, thus preventing errors and wasted compute from re-runs. Option E is correct because for multi-turn conversations in Cortex Analyst, a summarization agent is specifically used to rephrase follow-up questions by incorporating previous context, without passing the entire, potentially long, conversation history. This significantly reduces the 'prompt_tokens' sent to the main LLM for each turn and optimizes inference times. Option A is incorrect because 'COMPLETE (and 'TRY_COMPLETE') functions are stateless; to maintain conversational context, all previous user prompts and model responses must be included in the array, which increases token count proportionally. Simply sending the latest prompt would lose context. Option D is incorrect as setting a higher 'temperature' value (e.g., 0.7) increases the 'randomness and diversity' of the LLM's output, not necessarily its conciseness for cost optimization. For the most consistent (and often direct) results, a 'temperature of 0 is recommended.

질문 # 254
A new ML Engineer, 'data_scientist_role' , has been assigned to a project involving custom machine learning models in Snowflake. They need to gain the necessary permissions to perform the following actions related to Snowflake Model Registry and Snowpark Container Services: 1. Log a custom model into a specified schem a. 2. Deploy that model to an existing Snowpark Container Service compute pool. 3. Call the deployed model for inference using SQL. Which of the following SQL commands grant the 'minimal' required privileges to the for these actions, assuming the compute pool and image repository already exist and are appropriately configured?

정답：B,E

설명：
Option A is correct because the 'CREATE MODEL' privilege on the target schema is required to log a new model (which creates a model object) in the Snowflake Model Registry. Option D is correct because deploying a model to a Snowpark Container Service creates a service object within a schema, which requires the 'CREATE SERVICE privilege on that schema. The role would also implicitly need 'USAGE on the specified compute pool. Option B is incorrect. While 'USAGE ON DATABASE is generally needed for accessing objects within a database, it's a broader prerequisite and not specifically a minimal privilege for the direct model registry actions of logging, deploying, and calling the model. Option C is incorrect because 'CREATE COMPUTE POOL' is for creating the compute pool itself, not for deploying a service 'to' an existing one. The role would need 'USAGE' on the existing compute pool, but not the right to create it from scratch for this scenario. Option E is incorrect because 'READ ON IMAGE REPOSITORY is required for the 'service' to pull the image from the repository, but the question asks for privileges for the to perform the 'actions' of logging, deploying, and calling. While the role might need to manage or verify the image, this isn't a direct privilege for the user's interaction with the deployed model in the same way 'CREATE MODEL' or 'CREATE SERVICE are.

질문 # 255
A data engineer is designing an automated data pipeline in Snowflake to process incoming customer feedback documents. The pipeline needs to perform the following steps: 1. Extract the overall sentiment from the feedback text. 2. Generate a concise summary of each feedback document. 3. Extract key entities (e.g., product, issue, customer name) into a structured JSON format using a powerful LLM, ensuring adherence to a predefined schema and graceful error handling. Which of the following Snowflake Cortex features and best practices should the data engineer leverage to build this robust AI-infused pipeline?

A. Option C
B. Option B
C. Option D
D. Option E
E. Option A

정답：A,B,E

설명：

질문 # 256
......

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GES-C01최고품질 시험덤프자료 덤프문제

Snowflake GES-C01 시험을 패스하여 자격증을 취득하려는 분은 저희 사이트에서 출시한Snowflake GES-C01덤프의 문제와 답만 잘 기억하시면 한방에 시험패스 할수 있습니다, Snowflake인증 GES-C01시험을 패스하여 자격증을 취득하시면 찬란한 미래가 찾아올것입니다.

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Natalie Moore Natalie Moore

Biography