PASS SNOWPRO-CORE TEST GUIDE | EXAMCOLLECTION SNOWPRO-CORE QUESTIONS ANSWERS

Pass SnowPro-Core Test Guide | Examcollection SnowPro-Core Questions Answers

Pass SnowPro-Core Test Guide | Examcollection SnowPro-Core Questions Answers

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The SnowPro-Core Certification Exam consists of multiple-choice questions, covering various aspects of Snowflake, including architecture, security, data loading, querying, and optimization. SnowPro-Core exam is conducted online, and candidates have two hours to complete it. SnowPro-Core exam is available in English and Japanese languages.

Snowflake SnowPro-Core (SnowPro Core Certification) Exam is a certification program designed to recognize individuals who possess in-depth knowledge and expertise in Snowflake’s cloud data platform. It is a globally recognized certification program that validates the knowledge and skills required to design, build, manage and troubleshoot Snowflake solutions. SnowPro Core Certification Exam certification program has been designed keeping in mind the growing demand for Snowflake data professionals across various industries.

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The SnowPro-Core Certification Exam is an essential step in enhancing one's career in the cloud analytics and data warehousing world. It is a certification that is trusted and recognized globally, and it offers numerous benefits to individuals who pass it, including higher pay, competitive advantages over uncertified individuals, and access to Snowflake's community of experts.

Snowflake SnowPro Core Certification Exam Sample Questions (Q518-Q523):

NEW QUESTION # 518
Which of the following can be used when unloading data from Snowflake? (Choose two.)

  • A. Use the PARSE_JSON function to ensure structured data will be unloaded into the VARIANT data type.
  • B. The OBJECT_CONSTRUCT function can be used to convert relational data to semi-structured data.
  • C. When unloading semi-structured data, it is recommended that the STRIP_OUTER_ARRAY option be used.
  • D. By using the SINGLE = TRUE parameter, a single file up to 5 GB in size can be exported to the storage layer.
  • E. Use the ENCODING file format option to change the encoding from the default UTF-8.

Answer: B,D

Explanation:
The OBJECT_CONSTRUCT function is used in Snowflake to create a JSON object from relational data, which is useful when unloading semi-structured data. The SINGLE = TRUE parameter is used when unloading data to ensure that the data is exported as a single file, which can be up to 5 GB in size. References:
[COF-C02] SnowPro Core Certification Exam Study Guide


NEW QUESTION # 519
Which service or feature in Snowflake is used to improve the performance of certain types of lookup and analytical queries that use an extensive set of WHERE conditions?

  • A. Search optimization service
  • B. Tagging
  • C. Query acceleration service
  • D. Data classification

Answer: A

Explanation:
The Search Optimization Service in Snowflake is designed to improve the performance of specific types of queries, particularly those involving extensive sets of WHERE conditions. By maintaining a search index on tables, this service can accelerate lookup and analytical queries, making it a valuable feature for optimizing query performance and reducing execution times for complex searches.
References:
* Snowflake Documentation: Search Optimization Service


NEW QUESTION # 520
Which Snowflake mechanism is used to limit the number of micro-partitions scanned by a query?

  • A. Query pruning
  • B. Caching
  • C. Retrieval optimization
  • D. Cluster depth

Answer: A

Explanation:
Query pruning in Snowflake is the mechanism used to limit the number of micro-partitions scanned by a query. By analyzing the filters and conditions applied in a query, Snowflake can skip over micro-partitions that do not contain relevant data, thereby reducing the amount of data processed and improving query performance. This technique is particularly effective for large datasets and is a key component of Snowflake's performance optimization features.
References:
* Snowflake Documentation: Query Performance Optimization


NEW QUESTION # 521
Which Snowflake objects track DML changes made to tables, like inserts, updates, and deletes?

  • A. Pipes
  • B. Procedures
  • C. Tasks
  • D. Streams

Answer: D

Explanation:
In Snowflake, Streams are the objects that track Data Manipulation Language (DML) changes made to tables, such as inserts, updates, and deletes. Streams record these changes along with metadata about each change, enabling actions to be taken using the changed data. This process is known as change data capture (CDC)2.


NEW QUESTION # 522
What is a limitation of a Materialized View?

  • A. A Materialized View cannot be joined with other tables
  • B. A Materialized View cannot support any aggregate functions
  • C. A Materialized View can only reference up to two tables
  • D. A Materialized View cannot be defined with a JOIN

Answer: D

Explanation:
Materialized Views in Snowflake are designed to store the result of a query and can be refreshed to maintain up-to-date data. However, they have certain limitations, one of which is that they cannot be defined using a JOIN clause. This means that a Materialized View can only be created based on a single source table and cannot combine data from multiple tables using JOIN operations.
References:
* Snowflake Documentation on Materialized Views
* SnowPro Core Certification Study Guide


NEW QUESTION # 523
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