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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a highly sought-after certification for professionals who work with the Snowflake cloud data platform. It is designed to test the expertise of architects who design and build complex data solutions on the Snowflake platform. SnowPro Advanced Architect Certification certification is an advanced level certification exam and requires a solid understanding of Snowflake's architecture, data modeling, and programming concepts.

Snowflake ARA-C01 certification exam is a vendor-neutral certification, which means that it is recognized across the industry, regardless of the specific technology or solution being used. SnowPro Advanced Architect Certification certification is intended for professionals who have a deep understanding of Snowflake architecture and its various components, including data integration, data warehousing, data modeling, and data governance.

Snowflake ARA-C01 Exam is a challenging test that requires the candidate to have a deep understanding of Snowflake's cloud data platform and its various components. ARA-C01 exam tests the candidate's ability to design and implement solutions that are scalable, high-performance, and cost-effective.

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Just download the SnowPro Advanced Architect Certification (ARA-C01) PDF dumps file and start the SnowPro Advanced Architect Certification (ARA-C01) exam questions preparation right now. Whereas the other two SnowPro Advanced Architect Certification (ARA-C01) practice test software is concerned, both are the mock Snowflake ARA-C01 Exam Dumps and help you to provide the real-time SnowPro Advanced Architect Certification (ARA-C01) exam environment for preparation.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q105-Q110):

NEW QUESTION # 105
What Snowflake features should be leveraged when modeling using Data Vault?

A. Snowflake's ability to hash keys so that hash key joins can run faster than integer joins
B. Data needs to be pre-partitioned to obtain a superior data access performance
C. Scaling up the virtual warehouses will support parallel processing of new source loads
D. Snowflake's support of multi-table inserts into the data model's Data Vault tables

Answer: C,D

Explanation:
Explanation
These two features are relevant for modeling using Data Vault on Snowflake. Data Vault is a data modeling approach that organizes data into hubs, links, and satellites. Data Vault is designed to enable high scalability, flexibility, and performance for data integration and analytics. Snowflake is a cloud data platform that supports various data modeling techniques, including Data Vault. Snowflake provides some features that can enhance the Data Vault modeling, such as:
* Snowflake's support of multi-table inserts into the data model's Data Vault tables. Multi-table inserts (MTI) are a feature that allows inserting data from a single query into multiple tables in a single DML statement. MTI can improve the performance and efficiency of loading datainto Data Vault tables, especially for real-time or near-real-time data integration. MTI can also reduce the complexity and maintenance of the loading code, as well as the data duplication and latency12.
* Scaling up the virtual warehouses will support parallel processing of new source loads. Virtual warehouses are a feature that allows provisioning compute resources on demand for data processing.
Virtual warehouses can be scaled up or down by changing the size of the warehouse, which determines the number of servers in the warehouse. Scaling up the virtual warehouses can improve the performance and concurrency of processing new source loads into Data Vault tables, especially for large or complex data sets. Scaling up the virtual warehouses can also leverage the parallelism and distribution of Snowflake's architecture, which can optimize the data loading and querying34.
References:
* Snowflake Documentation: Multi-table Inserts
* Snowflake Blog: Tips for Optimizing the Data Vault Architecture on Snowflake
* Snowflake Documentation: Virtual Warehouses
* Snowflake Blog: Building a Real-Time Data Vault in Snowflake

NEW QUESTION # 106
When activating Tri-Secret Secure in a hierarchical encryption model in a Snowflake account, at what level is the customer-managed key used?

A. At the table level (TMK)
B. At the micro-partition level
C. At the account level (AMK)
D. At the root level (HSM)

Answer: A

NEW QUESTION # 107
When loading data from stage using COPY INTO, what options can you specify for the ON_ERROR clause?

A. FAIL
B. ABORT_STATEMENT
C. SKIP_FILE
D. CONTINUE

Answer: B,C,D

NEW QUESTION # 108
Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?

Answer: C

Explanation:
To maximize memory and compute resources for a Snowpark stored procedure, you need to set the MAX_CONCURRENCY_LEVEL parameter for the warehouse that executes the stored procedure. This parameter determines the maximum number of concurrent queries that can run on a single warehouse. By setting it to 16, you ensure that the warehouse can use all the available CPU cores and memory on a single node, which is the optimal configuration for Snowpark-optimized warehouses. This will improve the performance and efficiency of the stored procedure, as it will not have to share resources with other queries or nodes. The other options are incorrect because they either do not change the MAX_CONCURRENCY_LEVEL parameter, or they set it to a lower value than 16, which will reduce the memory and compute resources for the stored procedure. References:
* [Snowpark-optimized Warehouses] 1
* [Training Machine Learning Models with Snowpark Python] 2
* [Snowflake Shorts: Snowpark Optimized Warehouses] 3

NEW QUESTION # 109
Two queries are run on the customer_address table:
create or replace TABLE CUSTOMER_ADDRESS ( CA_ADDRESS_SK NUMBER(38,0), CA_ADDRESS_ID VARCHAR(16), CA_STREET_NUMBER VARCHAR(IO) CA_STREET_NAME VARCHAR(60), CA_STREET_TYPE VARCHAR(15), CA_SUITE_NUMBER VARCHAR(10), CA_CITY VARCHAR(60), CA_COUNTY VARCHAR(30), CA_STATE VARCHAR(2), CA_ZIP VARCHAR(10), CA_COUNTRY VARCHAR(20), CA_GMT_OFFSET NUMBER(5,2), CA_LOCATION_TYPE VARCHAR(20) ); ALTER TABLE DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS ADD SEARCH OPTIMIZATION ON SUBSTRING(CA_ADDRESS_ID); Which queries will benefit from the use of the search optimization service? (Select TWO).

A. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,16);
B. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where substring(CA_ADDRESS_ID,1,8)= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,8);
C. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID NOT LIKE '%AAAAAAAAPHPPL%';
D. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID LIKE '%PHPP%';
E. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID LIKE '%BAAASKD%';

Answer: A,B

Explanation:
The use of the search optimization service in Snowflake is particularly effective when queries involve operations that match exact substrings or start from the beginning of a string. The ALTER TABLE command adding search optimization specifically for substrings on the CA_ADDRESS_ID field allows the service to create an optimized search path for queries using substring matches.
Option A benefits because it directly matches a substring from the start of the CA_ADDRESS_ID, aligning with the optimization's capability to quickly locate records based on the beginning segments of strings.
Option B also benefits, despite performing a full equality check, because it essentially compares the full length of CA_ADDRESS_ID to a substring, which can leverage the substring index for efficient retrieval.
Options C, D, and E involve patterns that do not start from the beginning of the string or use negations, which are not optimized by the search optimization service configured for starting substring matches.
Reference: Snowflake's documentation on the use of search optimization for substring matching in SQL queries.

NEW QUESTION # 110
......

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FREE PDF MARVELOUS ARA-C01 - SNOWPRO ADVANCED ARCHITECT CERTIFICATION LATEST EXAM PAPERS

Free PDF Marvelous ARA-C01 - SnowPro Advanced Architect Certification Latest Exam Papers