SnowPro Specialty Gen AI GES-C01 v1.0
Question 1
When using Snowflake Cortex, which design factors have the MOST impact on model performance per credit? (Choose two.)
- A. The size of the data set
- B. The complexity of the queries
- C. The number of concurrent users
- D. The availability of compute resources
- E. The availability region where the model resides
Answer : BD
Question 2
Which SQL functions are designed and optimized to perform and automate specific routine tasks within Snowflake Cortex? (Choose two.)
- A. ANOMALY_DETECTION
- B. CLASSIFICATION
- C. FORECAST
- D. PARSE_DOCUMENT
- E. SENTIMENT
Answer : AC
Question 3
Usage is calculated base on both input and output tokens for which Snowflake Cortex LLM functions? (Choose three.)
- A. SUMMARIZE
- B. SENTIMENT
- C. TRANSLATE
- D. EMBED_TEXT_768
- E. EMBED_TEXT_1024
- F. CLASSIFY_TEXT
Answer : ACF
Question 4
A Gen AI Specialist is building an internal chatbot for a company that will use Streamlit and Snowflake Cortex Analyst to interpret and respond to user queries against Snowflake data.
Team members need to be able to ask a question like:
Can you provide the sales trend for the last 6 months?
The tool needs to be able to answer follow-up questions like:
Can you break that down by region?
What factors contributed to the dip in February?
To ensure the tool interprets the follow-up questions correctly, what must be included in the API request to Cortex Analyst?
- A. The most recent user message
- B. A session token to maintain session state across API requests
- C. The entire conversation history in the messages field of the API request
- D. A Snowflake session parameter to maintain conversation context among the previous API requests
Answer : C
Question 5
What Snowflake Cortex AI observability metrics are used to evaluate responses generated by LLMs? (Choose two.)
- A. Accuracy
- B. Coherence
- C. Corectness
- D. F1 Score
- E. Precision
Answer : BC
Question 6
A Gen AI Specialist needs a solution that will support asking questions in natural language and receive answers based on structured data in Snowflake without the use of SQL.
How can this be accomplished? (Choose two.)
- A. Create a custom data model, apply the data model to a database, and ask questions from the Snowflake Document AI option in the AI & ML Studio in Snowsight.
- B. Create a custom data model, enhance the model with cross-region inference, and ask questions in a custom-built application that calls the Snowflake Cortex Agent API.
- C. Create a semantic model, upload the semantic model to a stage, and ask questions from the Snowflake Cortex Analyst option in the AI & ML Studio in Snowsight.
- D. Create a semantic model, upload the semantic model to a stage, and ask questions in a custom-built application that calls the Snowflake Cortex Analyst API
- E. Create a Snowflake Cortex Agent in Snowsight, extract data from the database, and ask questions by fine-tuning an LLM with the extracted data.
Answer : CD
Question 7
A Gen AI Specialist is building a Gen AI application in Snowflake and needs to debug a specific record that returned an inaccurate response. The Specialist needs to understand how the input prompt was handled, what context was retrieved, which tools were invoked, and how the LLM responded, step-by-step.
Which Snowflake AI observability feature should be used?
- A. Metrics
- B. Logging
- C. Tracing
- D. Monitoring
Answer : C
Question 8
Review this query:
SELECT DEMO_DB.DEMO_SCHEMA.EXM_DOC_AI_BUILD!PREDICT(
GET_PRESIGNED_URL(@<stage_name>, '<relative_file_path>'), 9);
What will be the output?
- A. The query will produce structured data from a document stored in a Snowflake internal stage using Document AI with a model-version identifier
- B. The query will produce structured data from a document stored in a Snowflake external stage using Document AI with a model-version identifier
- C. The query will produce semi-structured data from a document stored in a Snowflake internal stage using Document AI with a model-version identifier
- D. The query will produce semi-structured data from a document stored in a Snowflake external stage using Document AI with a model version identifier
Answer : C
Question 9
A Gen AI Specialist creates this table:
Which function will measure the relationship between vectors without considering their magnitudes?
- A. VECTOR_L1_DISTANCE
- B. VECTOR_L2_DISTANCE
- C. VECTOR_INNER_PRODUCT
- D. VECTOR_COSINE_SIMILARITY
Answer : D
Question 10
Which arguments are required when using the SNOWFLAKE.CORTEX.COMPLETE function? (Choose two.)
- A. model
- B. top_p
- C. response_format
- D. max_tokens
- E. prompt_or_history
Answer : AE
Question 11
A table in pipeline contains a VARCHAR column containing free-form text responses. A Ger AI Specialist needs to generate three new columns from the text responses.
How should this requirement be met? (Choose two.)
- A. Use the SNOWFLAKE.CORTEX.COMPLETE function specifying a RESPONSE_FORMAT in the options argument, and use dot notation to extract the data to put into the tree new columns.
- B. Use the SNOWFLAKE.CORTEX.COMPLETE function specifying a TOP_P in the options argument. and parse the value of the CHOICES response key.
- C. Use the SNOWFLAKE.CORTEX.ENTITY_SENTIMENT function in a SELECT statement once for each of the three new columns.
- D. Call the SNOWFLAKE.CORTEX.EXTRACT_ANSWER function in a SELECT statement, and use dot notation to extract data to put into the three new columns,
- E. Call the SNOWFLAKE.CORTEX.EXTRACT_ANSWER function in a SELECT statement once for each of the three new columns.
Answer : AD
Question 12
Which action will minimize costs for Snowflake Cortex Search Services?
- A. Make frequent but small updates to the source data.
- B. Split the text search columns into chunks of no more than 612 tokens.
- C. Reduce the target tag from 5 minutes to 1 minute for real-time indexing.
- D. Suspend serving when it is not necessary to run the service.
Answer : D
Question 13
A Snowflake ACCOUNTADMIN needs to limit LLM usage by granting access only to individual roles. To do this, they disabled LLM usage for all models in the account.
Which commands will enable the GENAI_DEVELOPER role to use the COMPLETE function with the llama3.1–70b model?
-
A.
-
B.
-
C.
-
D.
Answer : D
Question 14
What governance principles does Snowflake guarantee when using its Gen AI features and the underlying models? (Choose two.)
- A. Snowflake customer data is never made available to other customers or model developers.
- B. Snowflake enforces Role-Based Access Control (RBAC) o ensure appropriate model access.
- C. Snowflake allows customers to create fine-tuned models that can be shared with other customers.
- D. Snowflake only allows third-party models to access Snowflake accounts using the Snowflake Model Registry.
- E. Snowflake mandates the use of Cortex Guard in the Cortex COMPLETE function to filter unsafe responses from a model.
Answer : AB
Question 15
This command is executed:
This error is received:
What is causing this error?
- A. The temperature option cannot be used with the guardrails option,
- B. The options argument must be the second parameter in the function call
- C. The max_tokens option must be included when using the guardrails option.
- D. The prompt_or_history argument must be an array of objects when using the options argument.
Answer : D