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시험대비ARA-C01퍼펙트덤프공부자료인증덤프자료
PassTIP의 Snowflake인증 ARA-C01시험덤프는 고객님의 IT자격증을 취득하는 꿈을 실현시켜 드리는 시험패스의 지름길입니다. Snowflake인증 ARA-C01덤프에는 실제시험문제의 거의 모든 문제를 적중하고 습니다. PassTIP의 Snowflake인증 ARA-C01덤프가 있으면 시험패스가 한결 간편해집니다.
스노우플레이크 ARA-C01 인증은 아키텍트와 컨설턴트들이 스노우플레이크의 데이터 웨어하우징 플랫폼에 대한 전문성을 검증하는 뛰어난 기회입니다. 이는 다양한 고급 주제를 다루는 어려운 시험으로, 시험에 합격하면 스노우플레이크의 아키텍처와 최상의 실천 방법에 대한 깊은 이해를 증명할 수 있습니다. 이 인증은 세계적으로 인정되며, 경쟁적인 취업 시장에서 개인이 두드러지게 할 수 있습니다.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) 인증 시험은 Snowflake Architects의 고급 기술과 지식을 검증하도록 설계된 클라우드 기반 인증 시험입니다. 이 인증 시험은 눈송이 데이터웨어 하우스 및 아키텍처에 대한 깊은 이해를 보유하고 있으며 모범 사례를 사용하여 복잡한 눈송이 솔루션을 설계하고 구현할 수있는 전문가를위한 것입니다. SnowPro Advanced Architect Certification 시험은 공급 업체 중립 인증으로 특정 공급 업체 나 기술과 관련이 없음을 의미합니다.
Snowflake ARA-C01 인증 시험은 눈송이 건축가의 고급 기술 기술을 검증하는 업계 최고의 인증입니다. 이 인증은 눈송이를 활용하는 조직에 의해 매우 존경 받고 있으며 복잡한 눈송이 솔루션을 설계하고 구현하는 건축가의 전문 지식을 시연하는 것입니다. 시험을 성공적으로 통과하는 응시자는 구직 시장에서 상당한 이점을 기대하고 눈송이 전문가를 찾고있는 조직에서 인기를 높일 수 있습니다.
ARA-C01퍼펙트 덤프공부자료 인기자격증 덤프공부자료
Snowflake ARA-C01인증시험패스에는 많은 방법이 있습니다. 먼저 많은 시간을 투자하고 신경을 써서 전문적으로 과련 지식을 터득한다거나; 아니면 적은 시간투자와 적은 돈을 들여 PassTIP의 인증시험덤프를 구매하는 방법 등이 있습니다.
최신 SnowPro Advanced Certification ARA-C01 무료샘플문제 (Q64-Q69):
질문 # 64
An Architect needs to improve the performance of reports that pull data from multiple Snowflake tables, join, and then aggregate the data. Users access the reports using several dashboards. There are performance issues on Monday mornings between 9:00am-11:00am when many users check the sales reports.
The size of the group has increased from 4 to 8 users. Waiting times to refresh the dashboards has increased significantly. Currently this workload is being served by a virtual warehouse with the following parameters:
AUTO-RESUME = TRUE AUTO_SUSPEND = 60 SIZE = Medium
What is the MOST cost-effective way to increase the availability of the reports?
- A. Use a multi-cluster warehouse in auto-scale mode with 1 size Medium cluster, and set min_cluster_count = 1 and max_cluster_count = 4.
- B. Use materialized views and pre-calculate the data.
- C. Use a multi-cluster warehouse in maximized mode with 2 size Medium clusters.
- D. Increase the warehouse to size Large and set auto_suspend = 600.
정답:A
설명:
The most cost-effective way to increase the availability and performance of the reports during peak usage times, while keeping costs under control, is to use a multi-cluster warehouse in auto-scale mode. Option D suggests using a multi-cluster warehouse with 1 size Medium cluster and allowing it to auto-scale between 1 and 4 clusters based on demand. This setup ensures that additional computing resources are available when needed (e.g., during Monday morning peaks) and are scaled down to minimize costs when the demand decreases. This approach optimizes resource utilization and cost by adjusting the compute capacity dynamically, rather than maintaining a larger fixed size or multiple clusters continuously.References:
Snowflake's official documentation on managing warehouses and using auto-scaling features.
질문 # 65
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. 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.
- B. 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.
- 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. A Business Critical account cannot be a data sharing provider to an Enterprise consumer. Any consumer accounts must also be Business Critical.
정답:A
설명:
When a SnowflakeBusiness Critical (BC)edition account shares data, it must followdata sharing restrictionsdesigned to maintain thehigher level of compliance and securityguaranteed by BC.
Bydefault, BC accounts canonly share data with other BC (or higher)accounts, to maintain consistent security and compliance (e.g., HIPAA, HITRUST, FedRAMP).
However,an exceptioncan be madeif a user with the proper privilegeexplicitly disables the restriction.
Key Concept: share_restrictions
* Snowflake enforcesdata sharing restrictionsby default forBC accounts.
* Arole with the OVERRIDE SHARE RESTRICTIONS global privilegecan bypass this by setting theshare_restrictions = FALSEwhen adding the target account.
Correct Option: D
This is correct because:
* The usermust have a role with the OVERRIDE SHARE RESTRICTIONS privilege.
* That user can thenset share_restrictions = FALSEwhen adding the Enterprise edition consumer account.
Official Documentation Extract:
"If the data provider is a Business Critical (or higher) account, Snowflake enforces a restriction by default that only allows sharing data with other Business Critical (or higher) accounts. A user in the provider account with a role that has the global privilege OVERRIDE SHARE RESTRICTIONS can override this restriction by explicitly setting SHARE_RESTRICTIONS = FALSE when adding the consumer account." Source:Snowflake Docs - CREATE SHARE Why Other Options Are Incorrect:
A:Incorrect - This is not absolute. Business Critical accountscanshare data with Enterprise accounts,if the restriction is explicitly overridden.
B:Incorrect - Simply having authority to create or alter a share isnot enough. You must have the OVERRIDE SHARE RESTRICTIONS privilege and set the restriction explicitly.
C:Incorrect - Setting share_restrictions = FALSE is required, but theprivilege to overridemust also be held by the role. Without the privilege, the action will fail.
References:
CREATE SHARE - SHARE_RESTRICTIONS Parameter
Snowflake Editions Comparison
Managing Shares and Data Sharing Restrictions
질문 # 66
Consider the following COPY command which is loading data with CSV format into a Snowflake table from an internal stage through a data transformation query.
This command results in the following error:
SQL compilation error: invalid parameter 'validation_mode'
Assuming the syntax is correct, what is the cause of this error?
- A. The value return_all_errors of the option VALIDATION_MODE is causing a compilation error.
- B. The VALIDATION_MODE parameter does not support COPY statements with CSV file formats.
- C. The VALIDATION_MODE parameter does not support COPY statements that transform data during a load.
- D. The VALIDATION_MODE parameter supports COPY statements that load data from external stages only.
정답:C
설명:
The VALIDATION_MODE parameter is used to specify the behavior of the COPY statement when loading data into a table. It is used to specify whether the COPY statement should return an error if any of the rows in the file are invalid or if it should continue loading the valid rows. The VALIDATION_MODE parameter is only supported for COPY statements that load data from external stages1.
The query in the question uses a data transformation query to load data from an internal stage. A data transformation query is a query that transforms the data during the load process, such as parsing JSON or XML data, applying functions, or joining with other tables2.
According to the documentation, VALIDATION_MODE does not support COPY statements that transform data during a load. If the parameter is specified, the COPY statement returns an error1. Therefore, option C is the correct answer.
질문 # 67
What is a characteristic of loading data into Snowflake using the Snowflake Connector for Kafka?
- A. Loads using the Connector will have lower latency than Snowpipe and will ingest data in real time.
- B. The Connector works with all file formats, including text, JSON, Avro, Ore, Parquet, and XML.
- C. The Connector only works in Snowflake regions that use AWS infrastructure.
- D. The Connector creates and manages its own stage, file format, and pipe objects.
정답:D
질문 # 68
A company is following the Data Mesh principles, including domain separation, and chose one Snowflake account for its data platform.
An Architect created two data domains to produce two data products. The Architect needs a third data domain that will use both of the data products to create an aggregate data product. The read access to the data products will be granted through a separate role.
Based on the Data Mesh principles, how should the third domain be configured to create the aggregate product if it has been granted the two read roles?
- A. Request a technical ETL user with the sysadmin role.
- B. Create a hierarchy between the two read roles.
- C. Use secondary roles for all users.
- D. Request that the two data domains share data using the Data Exchange.
정답:D
설명:
In the scenario described, where a third data domain needs access to two existing data products in a Snowflake account structured according to Data Mesh principles, the best approach is to utilize Snowflake's Data Exchange functionality. Option D is correct as it facilitates the sharing and governance of data across different domains efficiently and securely. Data Exchange allows domains to publish and subscribe to live data products, enabling real-time data collaboration and access management in a governed manner. This approach is in line with Data Mesh principles, which advocate for decentralized data ownership and architecture, enhancing agility and scalability across the organization.
Reference:
Snowflake Documentation on Data Exchange
Articles on Data Mesh Principles in Data Management
질문 # 69
......
현재 많은 IT인사들이 같은 생각하고 잇습니다. 그것은 바로Snowflake ARA-C01인증시험자격증 취득으로 하여 IT업계의 아주 중요한 한걸음이라고 말입니다.그만큼Snowflake ARA-C01인증시험의 인기는 말 그대로 하늘을 찌르고 잇습니다,
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