PASS GUARANTEED SNOWFLAKE - NEWEST DUMPS ARA-C01 QUESTIONS

Pass Guaranteed Snowflake - Newest Dumps ARA-C01 Questions

Pass Guaranteed Snowflake - Newest Dumps ARA-C01 Questions

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Tags: Dumps ARA-C01 Questions, ARA-C01 Test Passing Score, Exam ARA-C01 Simulator Free, Test ARA-C01 Dumps, Examinations ARA-C01 Actual Questions

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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is an industry-recognized certification that validates the advanced skills and knowledge of professionals in designing and implementing Snowflake solutions. It is a comprehensive exam that covers a wide range of topics, including Snowflake architecture, security, performance optimization, data modeling, and integration with other technologies. SnowPro Advanced Architect Certification certification is ideal for professionals who are responsible for managing Snowflake solutions for their organizations and want to demonstrate their expertise in this area.

To become SnowPro Advanced Architect certified, candidates must pass the Snowflake ARA-C01 Exam. ARA-C01 exam is designed to test the candidate's ability to design and implement advanced Snowflake solutions, as well as their ability to troubleshoot and optimize Snowflake implementations. The SnowPro Advanced Architect certification is a valuable credential for architects and engineers who work with the Snowflake platform, as it demonstrates their expertise in designing and implementing complex Snowflake solutions. SnowPro Advanced Architect Certification certification is recognized by Snowflake and its partners and is a valuable asset for those looking to advance their career in the data warehousing and data analytics space.

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Snowflake ARA-C01 Certification Exam is composed of two parts, the first being a multiple-choice exam that tests fundamental knowledge of Snowflake architecture and features. The second part of the exam is a hands-on lab where candidates are given a set of requirements and need to implement a Snowflake solution to meet those requirements. The lab is designed to test the candidate's ability to apply their knowledge in real-world scenarios.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q40-Q45):

NEW QUESTION # 40
A media company needs a data pipeline that will ingest customer review data into a Snowflake table, and apply some transformations. The company also needs to use Amazon Comprehend to do sentiment analysis and make the de-identified final data set available publicly for advertising companies who use different cloud providers in different regions.
The data pipeline needs to run continuously and efficiently as new records arrive in the object storage leveraging event notifications. Also, the operational complexity, maintenance of the infrastructure, including platform upgrades and security, and the development effort should be minimal.
Which design will meet these requirements?

  • A. Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.
  • B. Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Create an external function to do model inference with Amazon Comprehend and write the final records to a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.
  • C. Ingest the data into Snowflake using Amazon EMR and PySpark using the Snowflake Spark connector. Apply transformations using another Spark job. Develop a python program to do model inference by leveraging the Amazon Comprehend text analysis API. Then write the results to a Snowflake table and create a listing in the Snowflake Marketplace to make the data available to other companies.
  • D. Ingest the data using copy into and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

Answer: B


NEW QUESTION # 41
A company wants to deploy its Snowflake accounts inside its corporate network with no visibility on the internet. The company is using a VPN infrastructure and Virtual Desktop Infrastructure (VDI) for its Snowflake users. The company also wants to re-use the login credentials set up for the VDI to eliminate redundancy when managing logins.
What Snowflake functionality should be used to meet these requirements? (Choose two.)

  • A. Set up replication to allow users to connect from outside the company VPN.
  • B. Use private connectivity from a cloud provider.
  • C. Provision a unique company Tri-Secret Secure key.
  • D. Use a proxy Snowflake account outside the VPN, enabling client redirect for user logins.
  • E. Set up SSO for federated authentication.

Answer: B,E

Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the Snowflake functionality that should be used to meet these requirements are:
* Use private connectivity from a cloud provider. This feature allows customers to connect to Snowflake from their own private network without exposing their data to the public Internet. Snowflake integrates with AWS PrivateLink, Azure Private Link, and Google Cloud Private Service Connect to offer private connectivity from customers' VPCs or VNets to Snowflake endpoints. Customers can control how traffic reaches the Snowflake endpoint and avoid the need for proxies or public IP addresses123.
* Set up SSO for federated authentication. This feature allows customers to use their existing identity provider (IdP) to authenticate users for SSO access to Snowflake. Snowflake supports most SAML
2.0-compliant vendors as an IdP, including Okta, Microsoft AD FS, Google G Suite, Microsoft Azure Active Directory, OneLogin, Ping Identity, and PingOne. By setting up SSO for federated authentication, customers can leverage their existing user credentials and profile information, and provide stronger security than username/password authentication4.
The other options are incorrect because they do not meet the requirements or are not feasible. Option A is incorrect because setting up replication does not allow users to connect from outside the company VPN.
Replication is a feature of Snowflake that enables copying databases across accounts in different regions and cloud platforms. Replication does not affect the connectivity or visibility of the accounts5. Option B is incorrect because provisioning a unique company Tri-Secret Secure key does not affect the network or authentication requirements. Tri-Secret Secure is a feature of Snowflake that 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. Tri-Secret Secure provides an additional layer of security and control over the data encryption and decryption process, but it does not enable private connectivity or SSO6. Option E is incorrect because using a proxy Snowflake account outside the VPN, enabling client redirect for user logins, is not a supported or recommended way of meeting the requirements. Client redirect is a feature of Snowflake that allows customers to connect to a different Snowflake account than the one specified in the connection string. This feature is useful for scenarios such as cross-region failover, data sharing, and account migration, but it does not provide private connectivity or SSO7. References: AWS PrivateLink & Snowflake | Snowflake Documentation, Azure Private Link & Snowflake | Snowflake Documentation, Google Cloud Private Service Connect & Snowflake | Snowflake Documentation, Overview of Federated Authentication and SSO | Snowflake Documentation, Replicating Databases Across Multiple Accounts | Snowflake Documentation, Tri-Secret Secure | Snowflake Documentation, Redirecting Client Connections | Snowflake Documentation


NEW QUESTION # 42
COMPRESSION = AUTO can automatically detect below compression techniques when FORMAT TYPE is CSV

  • A. DEFLATE
  • B. ZSTD
  • C. BROTLI
  • D. RAW_DEFLATE
  • E. BZ2
  • F. GZIP

Answer: A,B,D,E,F


NEW QUESTION # 43
A retail company has 2000+ stores spread across the country. Store Managers report that they are having trouble running key reports related to inventory management, sales targets, payroll, and staffing during business hours. The Managers report that performance is poor and time-outs occur frequently.
Currently all reports share the same Snowflake virtual warehouse.
How should this situation be addressed? (Select TWO).

  • A. Configure a dedicated virtual warehouse for the Store Manager team.
  • B. Configure the virtual warehouse to size 4-XL
  • C. Advise the Store Manager team to defer report execution to off-business hours.
  • D. Use a Business Intelligence tool for in-memory computation to improve performance.
  • E. Configure the virtual warehouse to be multi-clustered.

Answer: A,E

Explanation:
The best way to address the performance issues and time-outs faced by the Store Manager team is to configure a dedicated virtual warehouse for them and make it multi-clustered. This will allow them to run their reports independently from other workloads and scale up or down the compute resources as needed. A dedicated virtual warehouse will also enable them to apply specific security and access policies for their data. A multi-clustered virtual warehouse will provide high availability and concurrency for their queries and avoid queuing or throttling.
Using a Business Intelligence tool for in-memory computation may improve performance, but it will not solve the underlying issue of insufficient compute resources in the shared virtual warehouse. It will also introduce additional costs and complexity for the data architecture.
Configuring the virtual warehouse to size 4-XL may increase the performance, but it will also increase the cost and may not be optimal for the workload. It will also not address the concurrency and availability issues that may arise from sharing the virtual warehouse with other workloads.
Advising the Store Manager team to defer report execution to off-business hours may reduce the load on the shared virtual warehouse, but it will also reduce the timeliness and usefulness of the reports for the business. It will also not guarantee that the performance issues and time-outs will not occur at other times.
References:
* Snowflake Architect Training
* Snowflake SnowPro Advanced Architect Certification - Preparation Guide
* SnowPro Advanced: Architect Exam Study Guide


NEW QUESTION # 44
Company A would like to share data in Snowflake with Company B. Company B is not on the same cloud platform as Company A.
What is required to allow data sharing between these two companies?

  • A. Setup data replication to the region and cloud platform where the consumer resides.
  • B. Create a pipeline to write shared data to a cloud storage location in the target cloud provider.
  • C. Company A and Company B must agree to use a single cloud platform: Data sharing is only possible if the companies share the same cloud provider.
  • D. Ensure that all views are persisted, as views cannot be shared across cloud platforms.

Answer: A

Explanation:
Explanation
According to the SnowPro Advanced: Architect documents and learning resources, the requirement to allow data sharing between two companies that are not on the same cloud platform is to set up data replication to the region and cloud platform where the consumer resides. Data replication is a feature of Snowflake that enables copying databases across accounts in different regions and cloud platforms. Data replication allows data providers to securely share data with data consumers across different regions and cloud platforms by creating a replica database in the consumer's account. The replica database is read-only and automatically synchronized with the primary database in the provider's account. Data replication is useful for scenarios where data sharing is not possible or desirable due to latency, compliance, or security reasons1. The other options are incorrect because they are not required or feasible to allow data sharing between two companies that are not on the same cloud platform. Option A is incorrect because creating a pipeline to write shared data to a cloud storage location in the target cloud provider is not a secure or efficient way of sharing data. It would require additional steps to load the data from the cloud storage to the consumer's account, and it would not leverage the benefits of Snowflake's data sharing features. Option B is incorrect because ensuring that all views are persisted is not relevant for data sharing across cloud platforms. Views can be shared across cloud platforms as long as they reference objects in the same database. Persisting views is an option to improve the performance of querying views, but it is not required for data sharing2. Option D is incorrect because Company A and Company B do not need to agree to use a single cloud platform. Data sharing is possible across different cloud platforms using data replication or other methods, such as listings or auto-fulfillment3. References: ReplicatingDatabases Across Multiple Accounts | Snowflake Documentation, Persisting Views | Snowflake Documentation, Sharing Data Across Regions and Cloud Platforms | Snowflake Documentation


NEW QUESTION # 45
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