Practice Test for SnowPro-Core Certification Real 2024 Mock Exam [Q81-Q101]

Practice Test for SnowPro-Core Certification Real 2024 Mock Exam

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Snowflake SnowPro-Core certification is a valuable asset for individuals looking to develop their professional careers in data analysis and related fields. It is an excellent tool to validate your skills with Snowflake and is rapidly gaining popularity across the globe. With more and more organizations adopting Snowflake for their data warehousing and analytics needs, investing in Snowflake’s certification programs like SnowPro-Core has never been more critical.

The SnowPro-Core certification exam comprises multiple-choice questions, scenario-based questions, and performance-based tasks that evaluate the candidate’s proficiency in Snowflake technologies. SnowPro-Core exam covers a wide range of topics, including cloud data warehousing concepts, Snowflake architecture, SQL, Snowflake data loading and unloading, security, and data sharing. SnowPro Core Certification Exam certification program is designed to validate the skills needed to design, build, manage, and troubleshoot Snowflake cloud data platform solutions. Earning the SnowPro-Core certification demonstrates a professional’s understanding of Snowflake technology and their ability to use it effectively in real-world scenarios.

NO.81 What feature can be used to reorganize a very large table on one or more columns?

 Micro-partitions

 Clustering keys

 Key partitions

 Clustered partitions

https://docs.snowflake.com/en/user-guide/tables-clustering-keys.html

NO.82 Which of the following statements are true of Snowflake releases: (Choose two.)

 They happen approximately weekly

 They roll up and release approximately monthly, but customers can request early release application

 During a release, new customer requests/queries/connections transparently move over to the newer version

 A customer is assigned a 30 minute window (that can be moved anytime within a week) during which the system will be unavailable and customer is upgraded

Explanation
https://docs.snowflake.com/en/user-guide/intro-releases.html

NO.83 True or False: When data share is established between a Data Provider and a data Consumer, the Data Consumer can extend that data share to other Data Consumers.

 True

 False

NO.84 Which of the following terms best describes Snowflake’s database architecture?

 Columnar shared nothing

 Shared disk

 Multi-cluster, shared data

 Cloud-native shared memory

NO.85 True or False: Snowpipe via RFST API can only reference External Stages as source.

 True

 False

Reference: https://community.snowflake.com/s/article/Making-Transient-table-by-Default

NO.86 Which methods can be used to delete staged files from a Snowflake stage? (Choose two.)

 Use the DROP <file> command after the load completes.

 Specify the TEMPORARY option when creating the file format.

 Specify the PURGE copy option in the COPY INTO <table> command.

 Use the REMOVE command after the load completes.

 Use the DELETE LOAD HISTORY command after the load completes.

NO.87 Select the different types of Internal Stages: (Choose three.)

 Named Stage

 User Stage

 Table Stage

 Schema Stage

Reference: https://dwgeek.com/type-of-snowflake-stages-how-to-create-and-use.html/#Snowflake-Internal- Named-Stage

NO.88 Which statements are true of micro-partitions? (Choose two.)

 They are approximately 16MB in size

 They are stored compressed only if COMPRESS=TRUE on Table

 They are immutable

 They are only encrypted in the Enterprise edition and above

Explanation/Reference: https://medium.com/weareservian/seeing-snow-for-the-first-time-snowflake-adventures-part-1-
731ddc983c69

NO.89 What is the minimum Snowflake edition required to create a materialized view?

 Standard Edition

 Enterprise Edition

 Business Critical Edition

 Virtual Private Snowflake Edition

Materialized views require Enterprise Edition. To inquire about upgrading, please contact Snowflake Support
https://docs.snowflake.com/en/sql-reference/sql/create-materialized-view.html#:~:text=Materialized%20views%20require%20Enterprise%20Edition,upgrading%2C%20please%20contact%20Snowflake%20Support.

NO.90 True or False: Snowflake supports federated authentication in all editions.

 True

 False

Reference:
https://community.snowflake.com/s/news/federated-authentication-sso-now-available-in-all-snowflake-editions-M

NO.91 How do Snowflake data providers share data that resides in different databases?

 External tables

 Secure views

 Materialized views

 User-Defined Functions (UDFs)

NO.92 Which of the following indicates that it may be appropriate to use a clustering key for a table? (Select TWO).

 The table contains a column that has very low cardinality

 DML statements that are being issued against the table are blocked

 The table has a small number of micro-partitions

 Queries on the table are running slower than expected

 The clustering depth for the table is large

NO.93 How can a Snowflake user access a JSON object, given the following table? (Select TWO).

 src:salesperson.name

 src:sa1esPerson. name

 src:salesperson.Name

 SRC:salesperson.name

 SRC:salesperson.Name

NO.94 Which statement describes how Snowflake supports reader accounts?

 A reader account can consume data from the provider account that created it and combine it with its own data.

 A consumer needs to become a licensed Snowflake customer as data sharing is only supported between Snowflake accounts.

 The users in a reader account can query data that has been shared with the reader account and can perform DML tasks.

 The SHOW MANAGED ACCOUNTS command will view all the reader accounts that have been created for an account.

NO.95 Which of the following statements are true of Snowflake data loading? (Choose three.)

 VARIANT “null” values are not the same as SQL NULL values

 It is recommended to do frequent, single row DMLs

 It is recommended to validate the data before loading into the Snowflake target table

 It is recommended to use staging tables to manage MERGE statements

NO.96 Which of the following statements are true of Snowflake releases: (Choose two.)

 They happen approximately weekly

 They roll up and release approximately monthly, but customers can request early release application

 During a release, new customer requests/queries/connections transparently move over to the newer version

 A customer is assigned a 30 minute window (that can be moved anytime within a week) during which the system will be unavailable and customer is upgraded

https://docs.snowflake.com/en/user-guide/intro-releases.html

NO.97 Which data types are supported by Snowflake when using semi-structured data? (Choose two.)

 VARIANT

 VARRAY

 STRUCT

 ARRAY

 QUEUE

NO.98 What is the recommended file sizing for data loading using Snowpipe?

 A compressed file size greater than 100 MB, and up to 250 MB

 A compressed file size greater than 100 GB, and up to 250 GB

 A compressed file size greater than 10 MB, and up to 100 MB

 A compressed file size greater than 1 GB, and up to 2 GB

https://www.phdata.io/blog/how-to-optimize-snowpipe-data-load/#:~:text=Snowpipe%20is%20typically%20used%20to,data%20within%20one%2Dminute%20intervals.

NO.99 A view is defined on a permanent table. A temporary table with the same name is created in the same schema as the referenced table. What will the query from the view return?

 The data from the permanent table.

 The data from the temporary table.

 An error stating that the view could not be compiled.

 An error stating that the referenced object could not be uniquely identified.

NO.100 Which of the following statements would be used to export/unload data from Snowflake?

 COPY INTO @stage

 EXPORT TO @stage

 INSERT INTO @stage

 EXPORT_TO_STAGE(stage = > @Wage, select = > ‘select * from t1);

NO.101 Which of the following statements describes a benefit of Snowflake’s separation of compute and storage?
(Choose all that apply.)

 Growth of storage and compute are tightly coupled together

 Storage expands without the requirement to add more compute

 Compute can be scaled up or down without the requirement to add more storage

 Multiple compute clusters can access stored data without contention

 Loading …

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