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| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Architect Certification |
| Exam Number: | ARA-C01 |
| Available Languages: | Japanese, English |
| Passing Score: | 750/1000 |
| Exam Format: | Multiple Select, Multiple Choice |
| Related Certifications: | SnowPro Core Certification |
| Certificate Validity Period: | 2 years |
| Exam Price: | $375 USD |
| Real Exam Qty: | 65 |
| Exam Duration: | 115 minutes |
| Sample Questions: | Snowflake ARA-C01 Sample Questions |
| Exam Way: | Online proctored or test center delivery through Pearson VUE. |
| Pre Condition: | Candidates must hold an active SnowPro Core Certification. Snowflake recommends 2+ years of hands-on Snowflake architecture experience in production environments. |
| Official Syllabus URL: | https://learn.snowflake.com/en/certifications/snowpro-advanced-architect/ |
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Snowflake ARA-C01: SnowPro Advanced Architect Certification is a highly recognized and sought-after certification for individuals who want to demonstrate their advanced knowledge and expertise in Snowflake's cloud data platform. SnowPro Advanced Architect Certification certification is designed for architects and advanced-level professionals who have experience in designing and implementing complex data solutions with Snowflake.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is a certification exam that validates the skills and knowledge required to design and implement complex Snowflake solutions. It is a professional-level certification that is designed for architects who have extensive experience working with Snowflake and want to demonstrate their expertise in the field. ARA-C01 Exam Tests the aspirant's ability to design, architect, and implement Snowflake solutions that meet complex business requirements.
NEW QUESTION # 95
The endpoint insertFiles of SnowPipe rest API is used to inform Snowflake about the files to be ingested into a table. Select the two statements for this end point.
Answer: B,C
NEW QUESTION # 96
A table for IOT devices that measures water usage is created. The table quickly becomes large and contains more than 2 billion rows.
The general query patterns for the table are:
1. DeviceId, lOT_timestamp and Customerld are frequently used in the filter predicate for the select statement
2. The columns City and DeviceManuf acturer are often retrieved
3. There is often a count on Uniqueld
Which field(s) should be used for the clustering key?
Answer: B
Explanation:
A clustering key is a subset of columns or expressions that are used to co-locate the data in the same micro- partitions, which are the units of storage in Snowflake. Clustering can improve the performance of queries that filter on the clustering key columns, as it reduces the amount of data that needs to be scanned. The best choice for a clustering key depends on the query patterns and the data distribution in the table. In this case, the columns DeviceId, IOT_timestamp, and CustomerId are frequently used in the filter predicate for the select statement, which means they are good candidates for the clustering key. The columns City and DeviceManufacturer are often retrieved, but not filtered on, so they are not as important for the clustering key.
The column UniqueId is used for counting, but it is not a good choice for the clustering key, as it is likely to have a high cardinality and a uniform distribution, which means it will not help to co-locate the data.
Therefore, the best option is to use DeviceId and CustomerId as the clustering key, as they can help to prune the micro-partitions and speed up the queries. References: Clustering Keys & Clustered Tables, Micro- partitions & Data Clustering, A Complete Guide to Snowflake Clustering
NEW QUESTION # 97
Snowflake supports the following query performance optimizing methods
Answer: A,C
NEW QUESTION # 98
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?
Answer: C
Explanation:
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.
NEW QUESTION # 99
Role A has the following permissions:
. USAGE on db1
. USAGE and CREATE VIEW on schemal in db1
. SELECT on tablel in schemal
Role B has the following permissions:
. USAGE on db2
. USAGE and CREATE VIEW on schema2 in db2
. SELECT on table2 in schema2
A user has Role A set as the primary role and Role B as a secondary role.
What command will fail for this user?
Answer: D
Explanation:
This command will fail because while the user has USAGE permission on db2 and schema2 through Role B, and can create a view in schema2, they do not have SELECT permission on db1.schemal.table1 with Role B. Since Role A, which has SELECT permission on db1.schemal.table1, is not the currently active role when the view v2 is being created in db2.schema2, the user does not have the necessary permissions to read from db1.schemal.table1 to create the view. Snowflake's security model requires that the active role have all necessary permissions to execute the command.
NEW QUESTION # 100
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