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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Snowflake Architecture	30%	- Data modeling and use cases - Data sharing architecture design - Development lifecycle and workload support - Object hierarchy and architectural impact - Data protection and recovery strategies
Accounts and Security	25%	- Security, compliance and governance architecture - Account and database strategy design - Security principles and implementation scenarios
Performance Optimization	20%	- Virtual warehouse configuration and sizing - Clustering and partitioning strategies - Cost optimization and resource management - Query performance tuning
Data Engineering	25%	- Data pipeline and integration design - Transformation and processing frameworks - Data loading and unloading solutions

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q50-Q55):

NEW QUESTION # 50
What are characteristics of the use of transactions in Snowflake? (Select TWO).

A. Explicit transactions can contain DDL, DML, and query statements.
B. A transaction can be started explicitly by executing a begin work statement and end explicitly by executing a commit work statement.
C. The autocommit setting can be changed inside a stored procedure.
D. Explicit transactions should contain only DML statements and query statements. All DDL statements implicitly commit active transactions.
E. A transaction can be started explicitly by executing a begin transaction statement and end explicitly by executing an end transaction statement.

Answer: A,B

Explanation:
A: Snowflake's transactions can indeed include DDL (Data Definition Language), DML (Data Manipulation Language), and query statements. When executed within a transaction block, they all contribute to the atomicity of the transaction-either all of them commit together or none at all.
C: Snowflake supports explicit transaction control through the use of the BEGIN TRANSACTION (or simply BEGIN) and COMMIT statements. Alternatively, the BEGIN WORK and COMMIT WORK syntax is also supported, which is a standard SQL syntax for initiating and ending transactions, respectively.
Note: The END TRANSACTION statement is not used in Snowflake to end a transaction; the correct statement is COMMIT or COMMIT WORK.

NEW QUESTION # 51
Assuming all Snowflake accounts are using an Enterprise edition or higher, in which development and testing scenarios would be copying of data be required, and zero-copy cloning not be suitable? (Select TWO).

A. Production and development run in different databases in the same account, and Developers need to see production-like data but with specific columns masked.
B. Data is in a production Snowflake account that needs to be provided to Developers in a separate development/testing Snowflake account in the same cloud region.
C. Developers create their own copies of a standard test database previously created for them in the development account, for their initial development and unit testing.
D. Developers create their own datasets to work against transformed versions of the live data.
E. The release process requires pre-production testing of changes with data of production scale and complexity. For security reasons, pre-production also runs in the production account.

Answer: B,E

NEW QUESTION # 52
What is a key consideration when setting up search optimization service for a table?

A. The table must be clustered with a key having multiple columns for effective search optimization.
B. Search optimization service works best with a column that has a minimum of 100 K distinct values.
C. Search optimization service can significantly improve query performance on partitioned external tables.
D. Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.

Answer: B

Explanation:
Search optimization service is a feature of Snowflake that can significantly improve the performance of certain types of lookup and analytical queries on tables. Search optimization service creates and maintains a persistent data structure called a search access path, which keeps track of which values of the table's columns might be found in each of its micro-partitions, allowing some micro-partitions to be skipped when scanning the table1.
Search optimization service can significantly improve query performance on partitioned external tables, which are tables that store data in external locations such as Amazon S3 or Google Cloud Storage. Partitioned external tables can leverage the search access path to prune the partitions that do not contain the relevant data, reducing the amount of data that needs to be scanned and transferred from the external location2.
The other options are not correct because:
* A. Search optimization service works best with a column that has a high cardinality, which means that the column has many distinct values. However, there is no specific minimum number of distinct values required for search optimization service to work effectively. The actual performance improvement depends on the selectivity of the queries and the distribution of the data1.
* C. Search optimization service does not help to optimize storage usage by compressing the data into a GZIP format. Search optimization service does not affect the storage format or compression of the data, which is determined by the file format options of the table. Search optimization service only creates an additional data structure that is stored separately from the table data1.
* D. The table does not need to be clustered with a key having multiple columns for effective search optimization. Clustering is a feature of Snowflake that allows ordering the data in a table or a partitioned external table based on one or more clustering keys. Clustering can improve the performance of queries that filter on the clustering keys, as it reduces the number of micro-partitions that need to be scanned. However, clustering is not required for search optimization service to work, as search optimization service can skip micro-partitions based on any column that has a search access path, regardless of the clustering key3.
References:
* 1: Search Optimization Service | Snowflake Documentation
* 2: Partitioned External Tables | Snowflake Documentation
* 3: Clustering Keys | Snowflake Documentation

NEW QUESTION # 53
Is it possible for a data provider account with a Snowflake Business Critical edition to share data with an Enterprise edition data consumer account?

A. A Business Critical account cannot be a data sharing provider to an Enterprise consumer. Any consumer accounts must also be Business Critical.
B. If a user in the provider account with a share owning role which also has override share restrictions privilege share_restrictions set to False when adding an Enterprise consumer account, it can import the share.
C. If a user in the provider account with a share owning role sets share_restrictions to False when adding an Enterprise consumer account, it can import the share.
D. If a user in the provider account with role authority to create or alter share adds an Enterprise account as a consumer, it can import the share.

Answer: B

NEW QUESTION # 54
Which security, governance, and data protection features require, at a MINIMUM, the Business Critical edition of Snowflake? (Choose two.)

A. Federated authentication and SSO
B. AWS, Azure, or Google Cloud private connectivity to Snowflake
C. Periodic rekeying of encrypted data
D. Customer-managed encryption keys through Tri-Secret Secure
E. Extended Time Travel (up to 90 days)

Answer: B,D

Explanation:
Explanation
According to the SnowPro Advanced: Architect documents and learning resources, the security, governance, and data protection features that require, at a minimum, the Business Critical edition of Snowflake are:
* Customer-managed encryption keys through Tri-Secret Secure. This feature allows customers to manage their own encryption keys for data at rest in Snowflake, using a combination of three secrets: a master key, a service key, and a security password. This provides an additional layer of security and control over the data encryption and decryption process1.
* Periodic rekeying of encrypted data. This feature allows customers to periodically rotate the encryption keys for data at rest in Snowflake, using either Snowflake-managed keys or customer-managed keys. This enhances the security and protection of the data by reducing the risk of key compromise or exposure2.
The other options are incorrect because they do not require the Business Critical edition of Snowflake. Option A is incorrect because extended Time Travel (up to 90 days) is available with the Enterprise edition of Snowflake3. Option D is incorrect because AWS, Azure, or Google Cloud private connectivity to Snowflake is available with the Standard edition of Snowflake4. Option E is incorrect because federated authentication and SSO are available with the Standard edition of Snowflake5. References: Tri-Secret Secure | Snowflake Documentation, Periodic Rekeying of Encrypted Data | Snowflake Documentation, Snowflake Editions | Snowflake Documentation, Snowflake Network Policies | Snowflake Documentation, Configuring Federated Authentication and SSO | Snowflake Documentation

NEW QUESTION # 55
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