SNOWFLAKE UNPARALLELED CERTIFICATION ARA-C01 BOOK TORRENT PASS GUARANTEED QUIZ

Snowflake Unparalleled Certification ARA-C01 Book Torrent Pass Guaranteed Quiz

Snowflake Unparalleled Certification ARA-C01 Book Torrent Pass Guaranteed Quiz

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Snowflake ARA-C01 is an advanced certification exam designed for those who want to demonstrate their expertise in Snowflake architecture, design, and implementation. SnowPro Advanced Architect Certification certification is targeted at experienced architects, engineers, and consultants who have a deep understanding of Snowflake's technology and can provide solutions to complex business problems. Passing the ARA-C01 Exam demonstrates that an individual has the necessary skills and knowledge to design and implement advanced Snowflake solutions.

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The Snowflake ARA-C01 Exam is intended for experienced Snowflake architects who have a deep understanding of Snowflake's architecture, data warehousing concepts, and best practices. It is also designed to test an individual's ability to design, implement, and manage complex Snowflake solutions that meet a variety of business needs.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q76-Q81):

NEW QUESTION # 76
What integration object should be used to place restrictions on where data may be exported?

  • A. Storage integration
  • B. API integration
  • C. Security integration
  • D. Stage integration

Answer: C

Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the integration object that should be used to place restrictions on where data may be exported is the security integration. A security integration is a Snowflake object that provides an interface between Snowflake and third-party security services, such as Okta, Duo, or Google Authenticator. A security integration can be used to enforce policies on data export, such as requiring multi-factor authentication (MFA) or restricting the export destination to a specific network or domain. A security integration can also be used to enable single sign-on (SSO) or federated authentication for Snowflake users1.
The other options are incorrect because they are not integration objects that can be used to place restrictions on where data may be exported. Option A is incorrect because a stage integration is not a valid type of integration object in Snowflake. A stage is a Snowflake object that references a location where data files are stored, such as an internal stage, an external stage, or a named stage. A stage is not an integration object that provides an interface between Snowflake and third-party services2. Option C is incorrect because a storage integration is a Snowflake object that provides an interface between Snowflake and external cloud storage, such as Amazon S3, Azure Blob Storage, or Google Cloud Storage. A storage integration can be used to securely access data files from external cloud storage without exposing the credentials, but it cannot be used to place restrictions on where data may be exported3. Option D is incorrect because an API integration is a Snowflake object that provides an interface between Snowflake and third-party services that use REST APIs, such as Salesforce, Slack, or Twilio. An API integration can be used to securely call external REST APIs from Snowflake using the CALL_EXTERNAL_API function, but it cannot be used to place restrictions on where data may be exported4. References: CREATE SECURITY INTEGRATION | Snowflake Documentation, CREATE STAGE | Snowflake Documentation, CREATE STORAGE INTEGRATION | Snowflake Documentation, CREATE API INTEGRATION | Snowflake Documentation


NEW QUESTION # 77
How can an Architect enable optimal clustering to enhance performance for different access paths on a given table?

  • A. Create multiple materialized views with different cluster keys.
  • B. Create a clustering key that contains all columns used in the access paths.
  • C. Create super projections that will automatically create clustering.
  • D. Create multiple clustering keys for a table.

Answer: A

Explanation:
Explanation
According to the SnowPro Advanced: Architect documents and learning resources, the best way to enable optimal clustering to enhance performance for different access paths on a given table is to create multiple materialized views with different cluster keys. A materialized view is a pre-computed result set that is derived from a query on one or more base tables. A materialized view can be clustered by specifying a clustering key, which is a subset of columns or expressions that determines how the data in the materialized view is co-located in micro-partitions. By creating multiple materialized views with different cluster keys, an Architect can optimize the performance of queries that use different access paths on the same base table. For example, if a base table has columns A, B, C, and D, and there are queries that filter on A and B, or on C and D, or on A and C, the Architect can create three materialized views, each with a different cluster key: (A, B), (C, D), and (A, C). This way, each query can leverage the optimal clustering of the corresponding materialized view and achieve faster scan efficiency and better compression.
References:
* Snowflake Documentation: Materialized Views
* Snowflake Learning: Materialized Views
https://www.snowflake.com/blog/using-materialized-views-to-solve-multi-clustering-performance-problems/


NEW QUESTION # 78
When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP () what will occur?

  • A. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.
  • B. All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.
  • C. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.
  • D. All rows loaded using a specific COPY statement will have the same timestamp value.

Answer: D

Explanation:
When using the COPY command to load data into Snowflake, if a column has a default value set to CURRENT_TIME() or CURRENT_TIMESTAMP(), all rows loaded by that specific COPY command will have the same timestamp. This is because the default value for the timestamp is evaluated at the start of the COPY operation, and that same value is applied to all rows loaded by that operation.


NEW QUESTION # 79
Which of the following are characteristics of Snowflake's parameter hierarchy?

  • A. Virtual warehouse parameters override user parameters.
  • B. Schema parameters override account parameters.
  • C. Table parameters override virtual warehouse parameters.
  • D. Session parameters override virtual warehouse parameters.

Answer: D


NEW QUESTION # 80
A large manufacturing company runs a dozen individual Snowflake accounts across its business divisions.
The company wants to increase the level of data sharing to support supply chain optimizations and increase its purchasing leverage with multiple vendors.
The company's Snowflake Architects need to design a solution that would allow the business divisions to decide what to share, while minimizing the level of effort spent on configuration and management. Most of the company divisions use Snowflake accounts in the same cloud deployments with a few exceptions for European-based divisions.
According to Snowflake recommended best practice, how should these requirements be met?

  • A. Deploy to the Snowflake Marketplace making sure that invoker_share() is used in all secure views.
  • B. Deploy a Private Data Exchange and use replication to allow European data shares in the Exchange.
  • C. Deploy a Private Data Exchange in combination with data shares for the European accounts.
  • D. Migrate the European accounts in the global region and manage shares in a connected graph architecture. Deploy a Data Exchange.

Answer: B

Explanation:
According to Snowflake recommended best practice, the requirements of the large manufacturing company should be met by deploying a Private Data Exchange in combination with data shares for the European accounts. A Private Data Exchange is a feature of the Snowflake Data Cloud platform that enables secure and governed sharing of data between organizations. It allows Snowflake customers to create their own data hub and invite other parts of their organization or external partners to access and contribute data sets. A Private Data Exchange provides centralized management, granular access control, and data usage metrics for the data shared in the exchange1. A data share is a secure and direct way of sharing data between Snowflake accounts without having to copy or move the data. A data share allows the data provider to grant privileges on selected objects in their account to one or more data consumers in other accounts2. By using a Private Data Exchange in combination with data shares, the company can achieve the following benefits:
* The business divisions can decide what data to share and publish it to the Private Data Exchange, where it can be discovered and accessed by other members of the exchange. This reduces the effort and complexity of managing multiple data sharing relationships and configurations.
* The company can leverage the existing Snowflake accounts in the same cloud deployments to create the Private Data Exchange and invite the members to join. This minimizes the migration and setup costs and leverages the existing Snowflake features and security.
* The company can use data shares to share data with the European accounts that are in different regions or cloud platforms. This allows the company to comply with the regional and regulatory requirements for data sovereignty and privacy, while still enabling data collaboration across the organization.
* The company can use the Snowflake Data Cloud platform to perform data analysis and transformation on the shared data, as well as integrate with other data sources and applications. This enables the company to optimize its supply chain and increase its purchasing leverage with multiple vendors.


NEW QUESTION # 81
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