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| Section | Weight | Objectives |
|---|---|---|
| Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Security & Access Control | 10% | - Governance best practices - Masking policies - Authorization (roles, privileges) - Authentication (SSO, MFA) - Row-level and column-level security |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features |
| Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Performance Optimization & Monitoring | 4% | - Query history and monitoring - Resource optimization techniques - Query profiling and performance tuning |
| Time Travel & Cloning | 10% | - Zero-copy cloning - Fail-safe concepts - UNDROP and historical data access - Time travel concepts and retention |
| Virtual Warehouses | 15% | - Warehouse sizing and scaling - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting - Multi-cluster warehouses - Warehouse creation and configuration |
| Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Data manipulation (DML operations) - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Stored procedures and UDFs - Column types and sequences |
| Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Bulk loading with COPY command - Data unloading and staging - Data ingestion best practices |
| Data Sharing | 12% | - Shares and reader accounts - Reader account management - Private sharing vs. Data Exchange - Data listing marketplace |
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NEW QUESTION # 403
A user needs to create a materialized view in the schema MYDB.MYSCHEMA.
Which statements will provide this access?
Answer: D
Explanation:
In Snowflake, to create a materialized view, the user must have the necessary privileges on the schema where the view will be created. These privileges are granted through roles, not directly to individual users. Therefore, the correct process is to grant the role to the user and then grant the privilege to create the materialized view to the role itself.
The statement GRANT ROLE MYROLE TO USER USER1;grants the specified role to the user, allowing them to assume that role and exercise its privileges. The subsequent statement CREATE MATERIALIZED VIEW ON SCHEMA MYDB.MYSCHEMA TO MYROLE;grants the privilege to create a materialized view within the specified schema to the role MYROLE. Any user who has been granted MYROLE can then create materialized views in MYDB.MYSCHEMA.
References:
Snowflake Documentation on Roles
Snowflake Documentation on Materialized Views
NEW QUESTION # 404
What column type does a Kafka connector store formatted information in a single column?
Answer: A
Explanation:
The Kafka connector stores formatted information in a single column of type VARIANT.This column type is used to store semi-structured data like JSON or Avro, which allows for flexibility in the data structure
NEW QUESTION # 405
What is the COALESCE conditional expression used for?
Answer: D
Explanation:
The correct answer is D. To return the first non-NULL expression in an argument .
COALESCE evaluates its arguments from left to right and returns the first expression that is not NULL. If all expressions are NULL, it returns NULL.
Why D is correct:
SELECT COALESCE(phone_mobile, phone_home, phone_work, ' No phone ' ) AS contact_phone FROM customers; This returns the first available non-NULL phone number. If all phone columns are NULL, it returns ' No phone ' .
Why the other options are incorrect:
A). Splitting strings is handled by functions such as SPLIT.
B). Removing duplicates is handled with DISTINCT, grouping, or deduplication logic.
C). Joining column values is usually done with concatenation functions or operators, such as CONCAT.
Official Snowflake documentation reference:
Snowflake documentation describes COALESCE as a conditional expression that returns the first non-NULL expression among its arguments.
Reference: Snowflake Documentation - COALESCE; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 406
True or False: When you create a custom role, it is a best practice to immediately grant that role to ACCOUNTADMIN.
Answer: B
Explanation:
The ACCOUNTADMIN role is the most powerful role in Snowflake and should be limited to a select number of users within an organization. It is responsible for account-level configurations and should not be used for day-to-day object creation or management. Granting a custom role to ACCOUNTADMIN could inadvertently give broad access to users with this role, which is not a recommended security practice.
Reference:https://docs.snowflake.com/en/user-guide/security-access-control-considerations.html
NEW QUESTION # 407
Snowflake ' s access control framework combines which models for securing data? (Select TWO).
Answer: A,D
Explanation:
Snowflake ' s access control framework utilizes a combination of Discretionary Access Control (DAC) and Role-based Access Control (RBAC). DAC in Snowflake allows the object owner to grant access privileges to other roles. RBAC involves assigning roles to users and then granting privileges to those roles. Through roles, Snowflake manages which users have access to specific objects and what actions they can perform, which is central to security and governance in the Snowflake environment.
References: Snowflake Documentation on Access Control,
NEW QUESTION # 408
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