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[General] Get Special Discount on Snowflake COF-C02 Exam Dumps

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【General】 Get Special Discount on Snowflake COF-C02 Exam Dumps

Posted at yesterday 18:56      View:20 | Replies:0        Print      Only Author   [Copy Link] 1#
P.S. Free & New COF-C02 dumps are available on Google Drive shared by ExamCost: https://drive.google.com/open?id=18EU6FtsPa8RRfyNMqe1MlhTwvvcIE-aY
The desktop-based practice exam is customizable, tracks your progress, and creates a real SnowPro Core Certification Exam (COF-C02) exam environment. This software works offline on Windows computers. The web-based practice exam is similar to the desktop-based practice exam and can be taken on any browser without needing to install separate software. Moreover, the web-based SnowPro Core Certification Exam (COF-C02) practice exam is also compatible with all operating systems.
Snowflake COF-C02 (SnowPro Core Certification) Certification Exam is designed to test an individual's knowledge and proficiency with the Snowflake data platform. Snowflake is a cloud-based data warehousing and analytics platform that allows organizations to store, manage, and analyze large amounts of data in the cloud. The SnowPro Core Certification Exam is an essential step for data professionals who want to demonstrate their expertise in Snowflake and advance their careers.
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The SnowPro Core Certification Exam covers a broad range of topics related to Snowflake, including data loading and unloading, data modeling, security, and performance optimization. COF-C02 Exam is designed to test an individual's knowledge of Snowflake's features, functionality, and best practices. Individuals who pass the exam become certified SnowPro Core professionals, which demonstrates their mastery of essential Snowflake skills and their ability to work effectively with Snowflake's cloud-based data platform.
Snowflake SnowPro Core Certification Exam Sample Questions (Q157-Q162):NEW QUESTION # 157
Which operator is used to evaluate query pruning efficiency by comparing partitions scanned to partitions total?
  • A. ExternalScan
  • B. Filter
  • C. IndexScan
  • D. TableScan
Answer: D

NEW QUESTION # 158
How can a Snowflake user optimize query performance in Snowflake? (Select TWO).
  • A. Cluster a table.
  • B. Enable the search optimization service.
  • C. Create a view.
  • D. Enable Time Travel.
  • E. Index a table.
Answer: A,B

NEW QUESTION # 159
What are characteristics of transient tables in Snowflake? (Select TWO).
  • A. Transient tables can be altered to make them permanent tables.
  • B. Transient tables persist until they are explicitly dropped.
  • C. Transient tables have Time Travel retention periods of 0 or 1 day.
  • D. Transient tables have a Fail-safe period of 7 days.
  • E. Transient tables can be cloned to permanent tables.
Answer: B,E
Explanation:
Transient tables in Snowflake are designed for temporary or intermediate workloads with the following characteristics:
* B. Transient tables can be cloned to permanent tables: This feature allows users to create copies of transient tables for permanent use, providing flexibility in managing data lifecycles.
* C. Transient tables persist until they are explicitly dropped: Unlike temporary tables that exist for the duration of a session, transient tables remain in the database until explicitly removed by a user, offering more durability for short-term data storage needs.
References:
* Snowflake Documentation: Transient Tables

NEW QUESTION # 160
How does Snowflake describe its unique architecture?
  • A. A multi-cluster shared nothing architecture using a siloed data repository and symmetric multiprocessing (SMP)
  • B. A single-cluster shared nothing architecture using a sliced data repository and symmetric multiprocessing (SMP)
  • C. A single-cluster shared data architecture using a central data repository and massively parallel processing (MPP)
  • D. A multi-duster shared nothing architecture using a soloed data repository and massively parallel processing (MPP)
Answer: C
Explanation:
Snowflake's unique architecture is described as a multi-cluster, shared data architecture that leverages massively parallel processing (MPP). This architecture separates compute and storage resources, enabling Snowflake to scale them independently. It does not use a single cluster or rely solely on symmetric multiprocessing (SMP); rather, it uses a combination of shared-nothing architecture for compute clusters (virtual warehouses) and a centralized storage layer for data, optimizing for both performance and scalability.
References:
* Snowflake Documentation: Snowflake Architecture Overview

NEW QUESTION # 161
What Snowflake features allow virtual warehouses to handle high concurrency workloads? (Select TWO)
  • A. The use of warehouse indexing
  • B. The use of warehouse auto scaling
  • C. The ability to scale up warehouses
  • D. The ability to resize warehouses
  • E. Use of multi-clustered warehouses
Answer: B,E

NEW QUESTION # 162
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