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NEW QUESTION # 174
Which Snowflow object does not consume and storage costs?
- A. Secure view
- B. Temporary table
- C. Transient table
- D. Materialized view
Answer: B
Explanation:
Temporary tables in Snowflake do not consume storage costs. They are designed for transient data that is needed only for the duration of a session. Data stored in temporary tables is held in the virtual warehouse's cache and does not persist beyond the session's lifetime, thereby not incurring any storage charges.
References:
Snowflake Documentation: Temporary Tables
NEW QUESTION # 175
What can be used to view warehouse usage over time? (Select Two).
- A. The WAREHOUSE_METERING__HISTORY View
- B. The load HISTORY view
- C. The show warehouses command
- D. The billing and usage tab in the Snowflake web Ul
- E. The Query history view
Answer: A,E
Explanation:
To view warehouse usage over time, the Query history view and the WAREHOUSE_METERING__HISTORY View can be utilized.The Query history view allows users to monitor the performance of their queries and the load on their warehouses over a specified period1.The WAREHOUSE_METERING__HISTORY View provides detailed information about the workload on a warehouse within a specified date range, including average running and queued loads2.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 176
Which feature allows a user the ability to control the organization of data in a micro-partition?
- A. Automatic Clustering
- B. Search Optimization Service
- C. Horizontal Partitioning
- D. Range Partitioning
Answer: A
Explanation:
Automatic Clustering is a feature that allows users to control the organization of data within micro-partitions in Snowflake.By defining clustering keys, Snowflake can automatically reorganize the data in micro-partitions to optimize query performance1.
NEW QUESTION # 177
What are the responsibilities of Snowflake's Cloud Service layer? (Choose three.)
- A. Resource management
- B. Physical storage of micro-partitions
- C. Query execution
- D. Query parsing and optimization
- E. Virtual warehouse caching
- F. Authentication
Answer: A,D,F
Explanation:
The responsibilities of Snowflake's Cloud Service layer include authentication (A), which ensures secure access to the platform; resource management (B), which involves allocating and managing compute resources; and query parsing and optimization (D), which improves the efficiency and performance of SQL query execution3.
NEW QUESTION # 178
What role is required to use Partner Connect?
- A. SECURITYADMIN
- B. ACCOUNTADMIN
- C. SYSADMIN
- D. ORGADMIN
Answer: B
Explanation:
To use Partner Connect, the ACCOUNTADMIN role is required.Partner Connect allows account administrators to easily create trial accounts with selected Snowflake business partners and integrate these accounts with Snowflake
NEW QUESTION # 179
What is the MAXIMUM number of clusters that can be provisioned with a multi-cluster virtual warehouse?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
In Snowflake, the maximum number of clusters that can be provisioned within a multi-cluster virtual warehouse is 10. This allows for significant scalability and performance management by enabling Snowflake to handle varying levels of query load by adjusting the number of active clusters within the warehouse.References: Snowflake documentation on virtual warehouses, particularly the scalability options available in multi-cluster configurations.
NEW QUESTION # 180
By default, which Snowflake role is required to create a share?
- A. SHAREADMIN
- B. SECURITYADMIN
- C. ACCOUNTADMIN
- D. ORGADMIN
Answer: C
Explanation:
By default, the Snowflake role required to create a share is ACCOUNTADMIN (D).This role has the necessary privileges to perform administrative tasks, including creating shares for data sharing purposes
NEW QUESTION # 181
Snowflake supports the use of external stages with which cloud platforms? (Choose three.)
- A. Google Cloud Platform
- B. Amazon Web Services
- C. Docker
- D. Microsoft Azure Cloud
- E. IBM Cloud
- F. Oracle Cloud
Answer: A,B,D
Explanation:
Snowflake supports the use of external stages with Amazon Web Services (AWS), Microsoft Azure Cloud, and Google Cloud Platform (GCP).These platforms allow users to stage data externally and integrate with Snowflake for data loading operations
NEW QUESTION # 182
Based on a review of a Query Profile, which scenarios will benefit the MOST from the use of a data clustering key? (Select TWO.)
- A. A column that appears most frequently in join operations
- B. A column that appears most frequently in group by operations
- C. A column that appears most frequently in aggregate operations
- D. A column that appears most frequently in where operations
- E. A column that appears most frequently in order by operations
Answer: B,E
NEW QUESTION # 183
Which feature of Snowflake's Continuous Data Protection (CDP) has associated costs?
- A. End-to-end encryption
- B. Multi-Factor Authentication (MFA)
- C. Network policies
- D. Fail-safe
Answer: D
Explanation:
Snowflake's Continuous Data Protection (CDP) features encompass several mechanisms designed to protect data and ensure its availability and recoverability. Among these features, the one that has associated costs is Fail-safe.
Fail-safe is an additional layer of protection that kicks in after the Time Travel period expires. While Time Travel allows users to access historical data within a defined retention period (which can vary from 1 to 90 days depending on the Snowflake edition), Fail-safe provides a further 7 days (for a total of 7 additional days beyond the Time Travel period) during which Snowflake retains the data. This period is primarily intended for Snowflake's internal operations to recover data in the event of extreme scenarios, such as significant operational failures, and is not directly accessible by customers for data recovery purposes.
The associated costs with Fail-safe arise because Snowflake continues to store the data beyond the customer-specified Time Travel period, thereby incurring additional storage costs. It's important to note that while users do not incur direct costs for enabling Fail-safe (as it is an automatic feature of Snowflake), the extended storage of data during this period contributes to overall storage costs.
References:
Snowflake Documentation on Continuous Data Protection: Continuous Data Protection (CDP) Snowflake Documentation on Fail-safe: Understanding Fail-safe
NEW QUESTION # 184
What is the default value in the Snowflake Web Interface (Ul) for auto suspending a Virtual Warehouse?
- A. 15 minutes
- B. 5 minutes
- C. 10 minutes
- D. 1 minutes
Answer: C
Explanation:
The default value for auto-suspending a Virtual Warehouse in the Snowflake Web Interface (UI) is 10 minutes. This setting helps manage compute costs by automatically suspending warehouses that are not in use, ensuring that compute resources are efficiently allocated and not wasted on idle warehouses.
References:
Snowflake Documentation: Virtual Warehouses
NEW QUESTION # 185
What is a fundamental characteristic of Snowflake micro-partitions?
- A. Once established they cannot be changed.
- B. They serve as an index for Snowflake tables.
- C. They are sized based on Time Travel requirements.
- D. They can be read directly as files.
Answer: C
NEW QUESTION # 186
Which metadata table will store the storage utilization information even for dropped tables?
- A. TABLE_STORAGE_METRICS
- B. STAGE STORAGE USAGE HISTORY
- C. STORAGE_DAILY_HISTORY
- D. DATABASE_STORAGE_USAGE_HISTORY
Answer: A
Explanation:
The TABLE_STORAGE_METRICS metadata table stores the storage utilization information, including for tables that have been dropped but are still incurring storage costs2.
NEW QUESTION # 187
Snowflake's hierarchical key mode includes which keys? (Select TWO).
- A. Account master keys
- B. Schema master keys
- C. File keys
- D. Secure view keys
- E. Database master keys
Answer: A,C
Explanation:
Snowflake's hierarchical key model includes several levels of keys, where Account master keys and File keys are part of this hierarchy.Account master keys are used to encrypt all the data within an account, while File keys are used to encrypt individual files within the database2.
NEW QUESTION # 188
Query parsing and compilation occurs in which architecture layer of the Snowflake Cloud Data Platform?
- A. Cloud agnostic layer
- B. Storage layer
- C. Compute layer
- D. Cloud services layer
Answer: D
Explanation:
Query parsing and compilation in Snowflake occur within the cloud services layer.This layer is responsible for various management tasks, including query compilation and optimization
NEW QUESTION # 189
When using the ALLOW_CLINT_MFA_CACHING parameter, how long is a cached Multi-Factor Authentication (MFA) token valid for?
- A. 4 hours
- B. 2 hours
- C. 8 hours
- D. 1 hour
Answer: A
Explanation:
A cached MFA token is valid for up to four hours. https://docs.snowflake.com/en/user-guide/security-mfa#using-mfa-token-caching-to-minimize-the-number-of-prompts-during-authentication-optional
NEW QUESTION # 190
What do temporary and transient tables have m common in Snowflake? (Select TWO).
- A. Both tables have no Fail-safe period.
- B. For both tables, the retention period does not end when the session ends
- C. Both tables have data retention period maximums of one day.
- D. Both tables are visible only to a single user session.
- E. For both tables the retention period ends when the tables are dropped.
Answer: A,E
Explanation:
Temporary and transient tables in Snowflake share several characteristics, notably, neither table type has a Fail-safe period. Fail-safe is a feature that provides additional data protection beyond the Time Travel period. However, this feature does not apply to temporary or transient tables. Additionally, for both types of tables, the data retention period effectively ends when the tables are dropped. This means that once these tables are deleted, their data is not recoverable, distinguishing them from permanent tables, which benefit from Snowflake's Time Travel and Fail-safe features.References: Snowflake Documentation on Table Types
NEW QUESTION # 191
When unloading data, which file format preserves the data values for floating-point number columns?
- A. Parquet
- B. JSON
- C. CSV
- D. Avro
Answer: A
Explanation:
When unloading data, the Parquet file format is known for its efficiency in preserving the data values for floating-point number columns. Parquet is a columnar storage file format that offers high compression ratios and efficient data encoding schemes. It is especially effective for floating-point data, as it maintains high precision and supports efficient querying and analysis.
References:
Snowflake Documentation: Using the Parquet File Format for Unloading Data
NEW QUESTION # 192
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