[Q66-Q80] Get Special Discount Offer on SnowPro-Core Dumps PDF [UPDATED Dec-2023]

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Get Special Discount Offer on SnowPro-Core Dumps PDF [UPDATED Dec-2023]

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Snowflake SnowPro-Core Certification Exam is a valuable credential for individuals who work with Snowflake’s cloud data platform. By earning this certification, individuals can demonstrate their proficiency in Snowflake and prove their ability to design, build, and manage cloud-based data solutions using Snowflake. SnowPro Core Certification Exam certification is a must-have for anyone looking to advance their career in the IT industry.

Snowflake SnowPro-Core certification exam is designed for individuals who have a good understanding of data warehousing concepts and have experience working with Snowflake’s cloud data platform. SnowPro Core Certification Exam certification exam consists of multiple-choice questions and covers topics such as Snowflake architecture, data loading and unloading, data modeling, performance optimization, and security. SnowPro-Core exam is conducted online and can be taken from anywhere in the world.

NEW QUESTION 66
What is the name of the SnowSQLfile that can store connection information?

history

config

snowsqLcnf

snowsql.pubkey

NEW QUESTION 67
Which of the following objects can be shared through secure data sharing?

Masking policy

Stored procedure

Task

External table

Secure Data Sharing enables sharing selected objects in a database in your account with other Snowflake accounts. The following Snowflake database objects can be shared:
Tables
External tables
Secure views
Secure materialized views
Secure UDFs
Snowflake enables the sharing of databases through shares, which are created by data providers and “imported” by data consumers.
https://docs.snowflake.com/en/user-guide/data-sharing-intro.html#:~:text=Secure%20Data%20Sharing%20enables%20sharing,External%20tables

NEW QUESTION 68
Which of the following are characteristics of security in Snowflake?

Account and user authentication is only available with the Snowflake Business Critical edition.

Support for HIPAA and GDPR compliance is available for UI Snowflake editions.

Periodic rekeying of encrypted data is available with the Snowflake Enterprise edition and higher

Private communication to internal stages is allowed in the Snowflake Enterprise edition and higher.

NEW QUESTION 69
What COPY INTO SQL command should be used to unload data into multiple files?

SINGLE=TRUE

MULTIPLE=TRUE

MULTIPLE=FALSE

SINGLE=FALSE

NEW QUESTION 70
Select the different types of Internal Stages: (Choose three.)

Named Stage

User Stage

Table Stage

Schema Stage

NEW QUESTION 71
Which statement best describes Snowflake tables?

Snowflake tables are logical representations of underlying physical data

Snowflake tables ate the physical instantiation of data loaded Into Snowflake

Snowflake tables require that clustering keys be defined to perform optimally

Snowflake tables are owned by a user

NEW QUESTION 72
What is the minimum Snowflake edition that customers planning on storing protected information in Snowflake should consider for regulatory compliance?

Standard

Premier

Enterprise

Business Critical Edition

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

NEW QUESTION 73
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake. The user enables the strip__outer_array file format option What does the STRIP_OUTER_ARRAY file format do?

It removes the last element of the outer array.

It removes the outer array structure and loads the records into separate table rows,

It removes the trailing spaces in the last element of the outer array and loads the records into separate table columns

It removes the NULL elements from the JSON object eliminating invalid data and enables the ability to load the records

Data Size Limitations
The VARIANT data type imposes a 16 MB size limit on individual rows.
For some semi-structured data formats (e.g. JSON), data sets are frequently a simple concatenation of multiple documents. The JSON output from some software is composed of a single huge array containing multiple records. There is no need to separate the documents with line breaks or commas, though both are supported.
If the data exceeds 16 MB, enable the STRIP_OUTER_ARRAY file format option for the COPY INTO <table> command to remove the outer array structure and load the records into separate table rows:
copy into <table>
from @~/<file>.json
file_format = (type = ‘JSON’ strip_outer_array = true);
https://docs.snowflake.com/en/user-guide/semistructured-considerations.html

NEW QUESTION 74
What is the default File Format used in the COPY command if one is not specified?

CSV

JSON

Parquet

XML

Reference: https://docs.snowflake.com/en/sql-reference/sql/copy-into-location.html

NEW QUESTION 75
True or False: A customer using SnowSQL / native connectors will be unable be unable to able to also use the Snowflake Web interface (UI) unless access to the UI is explicitly granted by supported.

True

False

NEW QUESTION 76
True or False: Loading data into Snowflake requires that source data files be no larger than 16MB.

True

False

Explanation
By default, COPY INTO location statements separate table data into a set of output files to take advantage of parallel operations. The maximum size for each file is set using the MAX_FILE_SIZE copy option. The default value is 16777216 (16 MB) but can be increased to accommodate larger files. The maximum file size supported is 5 GB for Amazon S3, Google Cloud Storage, or Microsoft Azure stages. To unload data to a single output file (at the potential cost of decreased performance), specify the SINGLE = true copy option in your statement. You can optionally specify a name for the file in the path.

NEW QUESTION 77
Increasing the maximum number of clusters in a Multi-Cluster Warehouse is an example of:

Scaling rhythmically

Scaling max

Scaling out

Scaling Up

https://docs.snowflake.com/en/user-guide/warehouses-considerations.html#scaling-up-vs-scaling-out
“Scale out by adding warehouses to a multi-cluster warehouse”

NEW QUESTION 78
Credit Consumption by the Compute Layer (Virtual Warehouses) is based on: (Choose two.)

Number of users

Warehouse size

Amount of data processed

# of clusters for the Warehouse

Explanation
https://docs.snowflake.com/en/user-guide/credits.html#virtual-warehouse-credit-usage “Snowflake credits are charged based on the number of virtual warehouses you use, how long they run, and their size.”

NEW QUESTION 79
Which of the following are benefits of micro-partitioning? (Select TWO)

Micro-partitions cannot overlap in their range of values

Micro-partitions are immutable objects that support the use of Time Travel.

Micro-partitions can reduce the amount of I/O from object storage to virtual warehouses

Rows are automatically stored in sorted order within micro-partitions

Micro-partitions can be defined on a schema-by-schema basis

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

NEW QUESTION 80
What is a machine learning and data science partner within the Snowflake Partner Ecosystem?

Informatica

Power Bl

Adobe

Data Robot

Explanation
https://docs.snowflake.com/en/user-guide/ecosystem-analytics.html

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