What's more, part of that PDFVCE ARA-C01 dumps now are free: https://drive.google.com/open?id=1I94fWlFH-zV-dUPtgXJDD6YJIHK4Wknj
You can overcome this hurdle by selecting real Snowflake ARA-C01 Exam Dumps that can help you ace the ARA-C01 test quickly on the maiden endeavor. If you aspire to earn the Snowflake ARA-C01 Certification then obtaining trusted prep material is the most significant part of your ARA-C01 test preparation.
To qualify for the Snowflake ARA-C01 exam, candidates must first obtain the SnowPro Advanced Architect certification. SnowPro Advanced Architect Certification certification requires passing the SnowPro Core exam, as well as demonstrating proficiency in data modeling and performance tuning. Once candidates have achieved this certification, they can then take the ARA-C01 Exam to further validate their expertise.
>> Valid ARA-C01 Exam Camp Pdf <<
If you are worry about the coming ARA-C01 study materials, our study materials will help you solve your problem. In order to promise the high quality of our ARA-C01 study materials, our company has outstanding technical staff, and has perfect service system after sale. More importantly, our good ARA-C01 guide questions and perfect after sale service are approbated by our local and international customers. If you want to pass your practice exam, we believe that our learning engine will be your indispensable choices. More and more people have bought our ARA-C01 Guide questions in the past years.
Passing the Snowflake ARA-C01 exam demonstrates that a candidate has a deep understanding of Snowflake's architecture and can design and implement complex Snowflake solutions. SnowPro Advanced Architect Certification certification also signifies that the candidate is capable of integrating Snowflake with other technologies and can provide expert guidance to organizations on how to best leverage Snowflake for their specific needs. With the demand for Snowflake expertise on the rise, achieving the ARA-C01 Certification can open up new career opportunities and increase earning potential for professionals in the field.
NEW QUESTION # 191
What built-in Snowflake features make use of the change tracking metadata for a table? (Choose two.)
Answer: A,C
Explanation:
In Snowflake, the change tracking metadata for a table is utilized by the MERGE command and the STREAM object. The MERGE command uses change tracking to determine how to apply updates and inserts efficiently based on differences between source and target tables. STREAM objects, on the other hand, specifically capture and store change data, enabling incremental processing based on changes made to a table since the last stream offset was committed.
References:Snowflake Documentation on MERGE and STREAM Objects.
NEW QUESTION # 192
You are a snowflake architect in an organization. The business team came to to deploy an use case which requires you to load some data which they can visualize through tableau. Everyday new data comes in and the old data is no longer required.
What type of table you will use in this case to optimize cost
Answer: A
Explanation:
* A transient table is a type of table in Snowflake that does not have a Fail-safe period and can have a Time Travel retention period of either 0 or 1 day. Transient tables are suitable for temporary or intermediate data that can be easily reproduced or replicated1.
* A temporary table is a type of table in Snowflake that is automatically dropped when the session ends or the current user logs out. Temporary tables do not incur any storage costs, but they are not visible to other users or sessions2.
* A permanent table is a type of table in Snowflake that has a Fail-safe period and a Time Travel retention period of up to 90 days. Permanent tables are suitable for persistent and durable data that needs to be protected from accidental or malicious deletion3.
* In this case, the use case requires loading some data that can be visualized through Tableau. The data is updated every day and the old data is no longer required. Therefore, the best type of table to use in this case to optimize cost is a transient table, because it does not incur any Fail-safe costs and it can have a short Time Travel retention period of 0 or 1 day. This way, the data can be loaded and queried by Tableau, and then deleted or overwritten without incurring any unnecessary storage costs.
Transient Tables : Temporary Tables : Understanding & Using Time Travel
NEW QUESTION # 193
The following table exists in the production database:
A regulatory requirement states that the company must mask the username for events that are older than six months based on the current date when the data is queried.
How can the requirement be met without duplicating the event data and making sure it is applied when creating views using the table or cloning the table?
Answer: B
Explanation:
A masking policy is a feature of Snowflake that allows masking sensitive data in query results based on the role of the user and the condition of the data. A masking policy can be applied to a column in a table or a view, and it can use another column in the same table or view as a conditional column. A conditional column is a column that determines whether the masking policy is applied or not based on its value1.
In this case, the requirement can be met by using a masking policy on the username column with event_timestamp as a conditional column. The masking policy can use a function that masks the username if the event_timestamp is older than six months based on the current date, and returns the original username otherwise. The masking policy can be applied to the user_events table, and it will also be applied when creating views using the table or cloning the table2.
The other options are not correct because:
* A. Using a masking policy on the username column using an entitlement table with valid dates would require creating another table that stores the valid dates for each username, and joining it with the user_events table in the masking policy function. This would add complexity and overhead to the masking policy, and it would not use the event_timestamp column as the condition for masking.
* B. Using a row level policy on the user_events table using an entitlement table with valid dates would require creating another table that stores the valid dates for each username, and joining it with the user_events table in the row access policy function. This would filter out the rows that have event_timestamp older than six months based on the valid dates, instead of masking the username column. This would not meet the requirement of masking the username, and it would also reduce the visibility of the event data.
* D. Using a secure view on the user_events table using a case statement on the username column would require creating a view that uses a case expression to mask the username column based on the event_timestamp column. This would meet the requirement of masking the username, but it would not be applied when cloning the table. A secure view is a view that prevents the underlying data from being exposed by queries on the view. However, a secure view does not prevent the underlying data from being exposed by cloning the table3.
References:
* 1: Masking Policies | Snowflake Documentation
* 2: Using Conditional Columns in Masking Policies | Snowflake Documentation
* 3: Secure Views | Snowflake Documentation
NEW QUESTION # 194
What are purposes for creating a storage integration? (Choose three.)
Answer: A,D,F
Explanation:
The purpose of creating a storage integration in Snowflake includes:B. Store a generated identity and access management (IAM) entity for an external cloud provider - This helps in managing authentication and authorization with external cloud storage without embedding credentials in Snowflake. It supports various cloud providers like AWS, Azure, or GCP, ensuring that the identity management is streamlined across platforms.C. Support multiple external stages using one single Snowflake object - Storage integrations allow you to set up access configurations that can be reused across multiple external stages, simplifying the management of external data integrations.D. Avoid supplying credentials when creating a stage or when loading or unloading data - By using a storage integration, Snowflake can interact with external storage without the need to continuously manage or expose sensitive credentials, enhancing security and ease of operations.References: Snowflake documentation on storage integrations, found within the SnowPro Advanced: Architect course materials.
NEW QUESTION # 195
Remote service in external function can be an AWS Lambda function
Answer: A
NEW QUESTION # 196
......
Valid ARA-C01 Test Vce: https://www.pdfvce.com/Snowflake/ARA-C01-exam-pdf-dumps.html
BONUS!!! Download part of PDFVCE ARA-C01 dumps for free: https://drive.google.com/open?id=1I94fWlFH-zV-dUPtgXJDD6YJIHK4Wknj