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Guaranteed SnowPro-Core Success - Latest SnowPro-Core Exam Dump

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    Snowflake SnowPro-Core (SnowPro Core Certification) Certification Exam is a comprehensive certification program that validates an individual’s proficiency in the use of Snowflake’s cloud data platform. SnowPro Core Certification Exam certification is designed to establish a standard for data professionals to showcase their skills and knowledge of Snowflake technology. The SnowPro Core Certification covers a wide range of topics, including Snowflake architecture, data loading and unloading, security, data sharing, and performance optimization.

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    Snowflake SnowPro-Core (SnowPro Core Certification) Certification Exam is a comprehensive certification program designed to validate the skills and knowledge of data professionals in the field of Snowflake data warehousing. SnowPro Core Certification Exam certification program is designed to equip professionals with the necessary skills and knowledge to work with Snowflake data warehousing, including data loading, querying, and administration.

    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.

    Snowflake SnowPro Core Certification Exam Sample Questions (Q228-Q233):

    NEW QUESTION # 228
    What is a limitation of a Materialized View?

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

    Answer: C

    Explanation:
    Explanation
    There are several limitations to using materialized views:
    * A materialized view can query only a single table.
    * Joins, including self-joins, are not supported.


    NEW QUESTION # 229
    How long is the Fail-safe period for temporary and transient tables?

    • A. 1 day
    • B. 31 days
    • C. 90 days
    • D. There is no Fail-safe period for these tables.
    • E. 7 days

    Answer: D

    Explanation:
    Reference: https://docs.snowflake.com/en/user-guide/tables-temp-transient.html


    NEW QUESTION # 230
    Each incremental increase in Virtual Warehouse size (e,g. Medium to Large) generally results in what?
    Select one.

    • A. Better query scheduling
    • B. More micro-partitions
    • C. Higher storage costs
    • D. Double the numbers of servers In the compute duster

    Answer: D


    NEW QUESTION # 231
    How does Snowflake Fail-safe protect data in a permanent table?

    • A. Fail-safe makes data available up to 1 day, recoverable by user operations.
    • B. Fail-safe makes data available for 7 days, recoverable only by Snowflake Support.
    • C. Fail-safe makes data available for 7 days, recoverable by user operations.
    • D. Fail-safe makes data available up to 1 day, recoverable only by Snowflake Support.

    Answer: B


    NEW QUESTION # 232
    Which services does the Snowflake Cloud Services layer manage? (Select TWO).

    • A. Data storage
    • B. Metadata
    • C. Authentication
    • D. Compute resources
    • E. Query execution

    Answer: B,C

    Explanation:
    https://docs.snowflake.com/en/user-guide/intro-key-concepts.html
    The cloud services layer is a collection of services that coordinate activities across Snowflake. These services tie together all of the different components of Snowflake in order to process user requests, from login to query dispatch. The cloud services layer also runs on compute instances provisioned by Snowflake from the cloud provider.
    Services managed in this layer include:
    Authentication
    Infrastructure management
    Metadata management
    Query parsing and optimization
    Access control


    NEW QUESTION # 233
    ......

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