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| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Architect Certification |
| Exam Number: | ARA-C01 |
| Related Certifications: | SnowPro Core Certification |
| Exam Price: | $375 USD |
| Certificate Validity Period: | 2 years |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple Choice, Multiple Select |
| Real Exam Qty: | 65 |
| Passing Score: | 750/1000 |
| Exam Duration: | 115 minutes |
| Sample Questions: | Snowflake ARA-C01 Sample Questions |
| Exam Way: | Online proctored or test center delivery through Pearson VUE. |
| Pre Condition: | Candidates must hold an active SnowPro Core Certification. Snowflake recommends 2+ years of hands-on Snowflake architecture experience in production environments. |
| Official Syllabus URL: | https://learn.snowflake.com/en/certifications/snowpro-advanced-architect/ |
The learning material is available in three different easy-to-use forms. The first one is a PDF form. The students can save the ARA-C01 questions by taking out their prints or can access them on their smartphones, tablets, and laptops. The PDF form can be used anywhere anytime and is essential for applicants who like to learn from their smart devices. The second form is SnowPro Advanced Architect Certification (ARA-C01) web-based practice test which can be taken from browsers.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is a comprehensive certification program designed to test the advanced expertise of Snowflake architects. Snowflake is a cloud-based data warehousing and analytics platform that provides businesses with a scalable, secure, and cost-effective solution for big data management and analysis. The SnowPro Advanced Architect Certification Exam is aimed at professionals who have a deep understanding of the Snowflake platform and are capable of designing and implementing complex data warehousing and analytics solutions.
NEW QUESTION # 166
An Architect is designing a pipeline to stream event data into Snowflake using the Snowflake Kafka connector. The Architect's highest priority is to configure the connector to stream data in the MOST cost-effective manner.
Which of the following is recommended for optimizing the cost associated with the Snowflake Kafka connector?
Answer: B
NEW QUESTION # 167
A table, EMP_ TBL has three records as shown:
The following variables are set for the session:
Which SELECT statements will retrieve all three records? (Select TWO).
Answer: A,B
Explanation:
The correct answer is B and E because they use the correct syntax and values for the identifier function and the session variables.
The identifier function allows you to use a variable or expression as an identifier (such as a table name or column name) in a SQL statement. It takes a single argument and returns it as an identifier. For example, identifier($tbl_ref) returns EMP_TBL as an identifier.
The session variables are set using the SET command and can be referenced using the $ sign. For example, $var1 returns Name1 as a value.
Option A is incorrect because it uses Stbl_ref and Scol_ref, which are not valid session variables or identifiers. They should be $tbl_ref and $col_ref instead.
Option C is incorrect because it uses identifier<Stbl_ref>, which is not a valid syntax for the identifier function. It should be identifier($tbl_ref) instead.
Option D is incorrect because it uses Cvarl, var2, and var3, which are not valid session variables or values. They should be $var1, $var2, and $var3 instead. Reference:
Snowflake Documentation: Identifier Function
Snowflake Documentation: Session Variables
Snowflake Learning: SnowPro Advanced: Architect Exam Study Guide
NEW QUESTION # 168
Based on the Snowflake object hierarchy, what securable objects belong directly to a Snowflake account? (Select THREE).
Answer: D,E,F
NEW QUESTION # 169
Which data models can be used when modeling tables in a Snowflake environment? (Select THREE).
Answer: A,E,F
Explanation:
Snowflake is a cloud data platform that supports various data models for modeling tables in a Snowflake environment. The data models can be classified into two categories: dimensional and normalized. Dimensional data models are designed to optimize query performance and ease of use for business intelligence and analytics. Normalized data models are designed to reduce data redundancy and ensure data integrity for transactional and operational systems. The following are some of the data models that can be used in Snowflake:
Dimensional/Kimball: This is a popular dimensional data model that uses a star or snowflake schema to organize data into fact and dimension tables. Fact tables store quantitative measures and foreign keys to dimension tables. Dimension tables store descriptive attributes and hierarchies. A star schema has a single denormalized dimension table for each dimension, while a snowflake schema has multiple normalized dimension tables for each dimension. Snowflake supports both star and snowflake schemas, and allows users to create views and joins to simplify queries.
Inmon/3NF: This is a common normalized data model that uses a third normal form (3NF) schema to organize data into entities and relationships. 3NF schema eliminates data duplication and ensures data consistency by applying three rules: 1) every column in a table must depend on the primary key, 2) every column in a table must depend on the whole primary key, not a part of it, and 3) every column in a table must depend only on the primary key, not on other columns. Snowflake supports 3NF schema and allows users to create referential integrity constraints and foreign key relationships to enforce data quality.
Data vault: This is a hybrid data model that combines the best practices of dimensional and normalized data models to create a scalable, flexible, and resilient data warehouse. Data vault schema consists of three types of tables: hubs, links, and satellites. Hubs store business keys and metadata for each entity. Links store associations and relationships between entities. Satellites store descriptive attributes and historical changes for each entity or relationship. Snowflake supports data vault schema and allows users to leverage its features such as time travel, zero-copy cloning, and secure data sharing to implement data vault methodology.
NEW QUESTION # 170
Who can provide permission to EXECUTE TASK?
Answer: A
NEW QUESTION # 171
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