最新的Snowflake Certification認證 GES-C01考試題庫

問題1

A developer is refining a Document AI extraction process using the '!PREDICT' method and is meticulously examining the JSON output for invoices, which include 'invoice number', 'invoice items', 'tax amount', and 'vendor name'. They also have a detailed internal table of 'product details' to be extracted. To ensure optimal data quality and accurate interpretation of the extracted information, which of the following best practices or characteristics of Document AI's output should the developer consider?

A. To maximize accuracy when defining data values, questions should be broadly generic (e.g., 'What is the amount?) to allow the Document AI model to infer the most relevant context, especially for fields like 'tax_amount' where multiple numbers might be present.

B. When extracting lists of values, such as 'invoice_items', the Document AI model returns them as an array in the JSON output, preserving the original order of items as they appear in the document.

C. For table extraction, such as the extracted values for each column (e.g., 'tablel litem', 'tablel Igross) are ordered consistently with the rows of the original table, facilitating direct joining of columns.

D. The 'ocrScore' provided in the '_documentMetadata' object for each document indicates the model's confidence in the content of specific extracted values, rather than the overall quality of the optical character recognition process.

E. If the 'vendor_name' field cannot be confidently identified in a document, the model will include '"vendor_name": [ { "score": O.X, "value": "NOT FOUND" } l' in the JSON output.

正確答案: B,C

說明：（僅 VCESoft 成員可見）

問題2

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 account role used must be granted the SNOWFLAKE. CORTEX_USER database role.

B. The Python project requires installation of trulens-core and trulens-connectors-snowflake packages, with versions earlier than 2.1.2.

C. The Python environment must have the TRULENS_OTEL_TRACING environment variable set to o before connecting to Snowflake.

D. The role used for creating and executing runs must have the CREATE EXTERNAL AGENT privilege on the schema.

E. The application must run exclusively within a Snowflake Notebook for observability features to function.

正確答案: A,D

說明：（僅 VCESoft 成員可見）

問題3

A data engineering team is setting up an automated pipeline to extract information from new invoices using Document AI. They've created a database and schema Cinvoice_db.invoice_schema') and a Document AI model build ('invoice_extractor'). They then created an internal stage for documents. When they attempt to run the 'invoice_extractor!PREDlCT' method on documents uploaded to 'invoice_stage' , they consistently receive the following error:

Given this error message, which 'corrective SQL command' addresses the most likely misconfiguration of the 'invoice_stage' to allow Document AI processing?

A.

B.

C.

D.

E.

正確答案: E

說明：（僅 VCESoft 成員可見）

問題4

An ML engineering team is preparing to log a custom Python model to the Snowflake Model Registry. This model has several Python package dependencies. The team wants to ensure the model can be deployed optimally, either in a Snowflake warehouse or to Snowpark Container Services (SPCS), depending on future needs. They are particularly concerned with how dependency specification impacts deployment eligibility. Which statements accurately describe how Snowflake handles model dependencies and determines deployment eligibility for custom Python models logged in the Model Registry, particularly when considering both Snowflake warehouse and Snowpark Container Services (SPCS) environments? (Select all that apply.)

A. When 'conda_dependencies' are specified for a model to be deployed to SPCS, these dependencies are by default obtained from 'conda-forge' rather than the Snowflake conda channel.

B. For models intended for SPCS, 'pip_requirements' are always preferred over 'conda_dependencies' because SPCS strictly prohibits the use of any conda packages from 'conda-forge'

C. Specifying both 'conda_dependencies' and 'pip_requirements' for a model is recommended to cover all possible deployment scenarios, and Snowflake's build process ensures compatibility between them.

D. The function will fail if 'WAREHOUSE is specified in 'target_platforms' but the model's size or GPU requirements make it ineligible for warehouse deployment.

E. If all of a model's 'conda_dependencieS are available in the Snowflake conda channel, the model is automatically deemed eligible to run in a warehouse.

正確答案: A,D,E

說明：（僅 VCESoft 成員可見）

問題5

A data scientist is preparing a large text document for processing with Snowflake Cortex LLMs. They need to use the COUNT_TOKENS function to estimate the input token count for different models. Given the statement

which of the following statements about the COUNT_TOKENS function and its output is TRUE?

A. Option B

B. Option D

C. Option C

D. Option A

E. Option E

正確答案: B

說明：（僅 VCESoft 成員可見）

問題6

A security-conscious data scientist in an Azure East US 2 (Virginia) account wants to fine-tune a mistral -7b model for a specific text summarization task and then deploy it for real-time inference using the Cortex REST API. The mistral-7b base model is natively available for fine-tuning in Azure East US 2 (Virginia). For subsequent inference using the fine-tuned model, they need to understand the regional and cross-region inference considerations. Which of the following statements are correct?

A. Option B

B. Option D

C. Option C

D. Option A

E. Option E

正確答案: A,B,D,E

說明：（僅 VCESoft 成員可見）

問題7

A data analyst needs to use SNOWFLAKE. CORTEX. EXTRACT_ANSWER to streamline information retrieval from various contract documents. They are new to Cortex functions and want to understand access requirements and optimal usage. Which of the following statements about using SNOWFLAKE .CORTEX. EXTRACT_ANSWER are correct?

A. The analyst's role must be granted the SNOWFLAKE. CORTEX_USER database role to execute EXTRACT_ANSWER functions.

B. If EXTRACT_ANSWER encounters an unresolvable issue during processing, it returns NULL instead of an error, similar to TRY_COMPLETE.

C. EXTRACT_ANSWER is the most current and recommended function for all text extraction tasks, offering multi-label and image extraction capabilities.

D. It is generally recommended to process multiple documents by applying EXTRACT_ANSWER to a table column containing the document texts, allowing for efficient batch processing.

E. For optimal accuracy, the source_document input should be in plain English, and the question should be specific, asking for a single value.

正確答案: A,D,E

說明：（僅 VCESoft 成員可見）

問題8

A Gen AI Specialist in Snowflake Cortex aims to fine-tune an LLM for enhanced task-specific performance. When creating a fine-tuning job using SNOWFLAKE. CORTEX. FINETUNE( 'CREATE', ... ) , which statement accurately describes the required training data format and a supported base model, aligning with Snowflake's Gen AI principles for leveraging LLMs?

A. Option B

B. Option D

C. Option C

D. Option A

E. Option E

正確答案: A

說明：（僅 VCESoft 成員可見）

問題9

A data team has implemented a Snowflake data pipeline using SQL tasks that process customer call transcripts daily. This pipeline relies heavily on SNOWFLAKE. CORTEX. COMPLETE() (or its updated alias) for various text analysis tasks, such as sentiment analysis and summary generation. Over time, they observe that the pipeline occasionally fails due to LLM-related errors, and the compute costs are higher than anticipated. What actions should the team take to improve the robustness and cost-efficiency of this data pipeline? (Select all that apply.)

A. Option B

B. Option D

C. Option C

D. Option A

E. Option E

正確答案: B,C,D

說明：（僅 VCESoft 成員可見）

問題10

A data application developer is building a Streamlit chat application that interacts with structured data using Cortex Analyst, a feature of Snowflake Cortex that is often integrated into Cortex Agents. The developer wants to ensure efficient multi-turn conversations and leverage verified queries. Which of the following statements represent best practices and functional aspects for this scenario within Snowflake's Gen AI ecosystem?

A. Option B

B. Option D

C. Option C

D. Option A

E. Option E

正確答案: A,B

說明：（僅 VCESoft 成員可見）

問題11

A development team is creating a new search application using Snowflake Cortex Search. They are currently using a 'snowflake-arctic- embed-I-v2.0' embedding model. After an initial load of 10 million rows, each with approximately 500 tokens of text, they observe a significant 'EMBED_TEXT_TOKENS' cost. They want to minimize these costs for future updates and ongoing operations. Considering their goal to optimize 'EMBED_TEXT_TOKENS' costs, which two strategies should the team prioritize for their Cortex Search Service?

A. Option B

B. Option D

C. Option C

D. Option A

E. Option E

正確答案: C,D

說明：（僅 VCESoft 成員可見）

問題12

A data science team is fine-tuning a Snowflake Document AI model to improve the extraction accuracy of specific fields from a new type of complex legal document. They are consistently observing low confidence scores and inconsistent 'value' keys for extracted entities, even after initial training. Which two of the following best practices should the team follow to most effectively improve the model's extraction accuracy and confidence for this complex document type?

A. Actively involve subject matter experts (SMEs) or document owners throughout the iterative process to help define data values, provide annotations, and evaluate the model's effectiveness.

B. Limit the fine-tuning training data exclusively to perfectly formatted and clean documents to ensure the model learns from ideal examples without noise.

C. Ensure the training dataset used for fine-tuning includes diverse documents representing various layouts, data variations, and explicit examples of 'NULL' values or empty cells where appropriate.

D. Prioritize extensive prompt engineering by creating highly detailed and complex questions with intricate logic to guide the LLM's understanding of the extraction task.

E. Set the 'temperature' parameter to a higher value (e.g., 0.7) during '!PREDICT calls to encourage more creative and diverse interpretations by the model.

正確答案: A,C

說明：（僅 VCESoft 成員可見）

問題13

An organization enforces strict LLM access control. The has configured 'CORTEX MODELS_ALLOWLIST ='mistral-large2" and executed 'CALL SNOWFLAKE.MODELS.CORTEX BASE MODELS REFRESH()'. A developer, whose role DEV ROLE has been granted 'SNOWFLAKE.CORTEX USER' and 'SNOWFLAKE."CORTEX-MODEL-ROLE-CLAUDE-3-5- SONNET"' , attempts to make a REST API call to 'api/v2/cortex/inference:complete' using 'claude-3-5-sonnet' as the model name in the request body. Which of the following statements are true regarding this scenario?

A. Option B

B. Option D

C. Option C

D. Option A

E. Option E

正確答案: A,C

說明：（僅 VCESoft 成員可見）

問題14

A data engineer is building a robust pipeline to process customer feedback. They need to extract specific sentiment categories (food_quality, food_taste, wait_time, food _cost) from text reviews and ensure the output is always a valid JSON object matching a predefined schema, even for complex reviews. They also want to control the determinism of the LLM responses. Which of the following SQL statements or considerations are correct for achieving this using Snowflake Cortex AI functions?

A. For the most consistent structured output, especially in complex reasoning tasks, setting the temperature option to 0 when calling AI_COMPLETE is recommended.

B. To ensure the model explicitly attempts to extract all specified fields, the 'required' array in the JSON schema is critical; AI_COMPLETE will raise an error if any required field cannot be extracted.

C. The following SQL statement uses the response_format argument and temperature setting to achieve structured output and determinism:

D. The response_format argument with a JSON schema is primarily for OpenAl (GPT) models; for other models like Mistral, a strong prompt instruction such as 'Respond in strict JSON' is generally more effective.

E. Using AI_COMPLETE with response_format incurs additional compute cost for the overhead of verifying each token against the supplied JSON schema, in addition to standard token costs.

正確答案: A,B,C

說明：（僅 VCESoft 成員可見）

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