BONUS!!! Download part of TestkingPass ARA-C01 dumps for free: https://drive.google.com/open?id=1_wPReExheBGMy_cuWyKF-stwZwO6FYGD
Our ARA-C01 study questions in every year are summarized based on the test purpose, every answer is a template, there are subjective and objective ARA-C01 exams of two parts, we have in the corresponding modules for different topic of deliberate practice. To this end, our ARA-C01 training materials in the qualification exam summarize some problem- solving skills, and induce some generic templates. The user can scout for answer and scout for score based on the answer templates we provide, so the universal template can save a lot of precious time for the user to study and pass the ARA-C01 Exam.
| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Architect Certification Exam |
| Exam Number: | ARA-C01 |
| Exam Format: | Multiple Select, Multiple Choice |
| Real Exam Qty: | 65 |
| Passing Score: | 750 / 1000 |
| Certificate Validity Period: | 2 years |
| Exam Price: | USD 375 |
| Exam Duration: | 115 minutes |
| Related Certifications: | SnowPro Core SnowPro Advanced: Data Analyst SnowPro Advanced: Data Engineer |
| Available Languages: | English |
| Recommended Training: | Snowflake Advanced Architect Learning Path Snowflake Documentation |
| Exam Registration: | Pearson VUE Registration Snowflake Certification Portal |
| Sample Questions: | Snowflake ARA-C01 Sample Questions |
| Exam Way: | Online proctored or Onsite testing center |
| Pre Condition: | Recommended: SnowPro Core certification + 2+ years hands-on experience as Snowflake Architect in production environment |
| Official Syllabus URL: | https://learn.snowflake.com/en/certifications/snowpro-advanced-architect/ |
>> Real Snowflake ARA-C01 Exam <<
Get the Most Recent Snowflake ARA-C01 Exam Questions for Guaranteed Success: It would be really helpful to purchase SnowPro Advanced Architect Certification (ARA-C01) exam dumps right away. If you buy this Snowflake Certification Exams product right now, we'll provide you with up to 365 days of free updates for SnowPro Advanced Architect Certification (ARA-C01) authentic questions. You can prepare using these no-cost updates in accordance with the most recent test content changes provided by the Snowflake ARA-C01 exam dumps.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a highly specialized certification program designed for professionals who want to demonstrate their advanced technical knowledge and skills in designing, deploying, and managing Snowflake solutions. SnowPro Advanced Architect Certification certification exam is designed to assess the knowledge and skills required to build, design, and manage a Snowflake architecture at an expert level.
NEW QUESTION # 223
Multi-cluster warehouses are best utilized for
Answer: C
NEW QUESTION # 224
Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?
Answer: A
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. Reference:
[Snowpark-optimized Warehouses] 1
[Training Machine Learning Models with Snowpark Python] 2
[Snowflake Shorts: Snowpark Optimized Warehouses] 3
NEW QUESTION # 225
What are characteristics of the use of transactions in Snowflake? (Select TWO).
Answer: C,E
Explanation:
A: Snowflake's transactions can indeed include DDL (Data Definition Language), DML (Data Manipulation Language), and query statements. When executed within a transaction block, they all contribute to the atomicity of the transaction-either all of them commit together or none at all.
C: Snowflake supports explicit transaction control through the use of the BEGIN TRANSACTION (or simply BEGIN) and COMMIT statements. Alternatively, the BEGIN WORK and COMMIT WORK syntax is also supported, which is a standard SQL syntax for initiating and ending transactions, respectively.
Note: The END TRANSACTION statement is not used in Snowflake to end a transaction; the correct statement is COMMIT or COMMIT WORK.
NEW QUESTION # 226
How can the Snowpipe REST API be used to keep a log of data load history?
Answer: A
Explanation:
The Snowpipe REST API provides two endpoints for retrieving the data load history: insertReport and loadHistoryScan. The insertReport endpoint returns the status of the files that were submitted to the insertFiles endpoint, while the loadHistoryScan endpoint returns the history of the files that were actually loaded into the table by Snowpipe. To keep a log of data load history, it is recommended to use the loadHistoryScan endpoint, which provides more accurate and complete information about the data ingestion process. The loadHistoryScan endpoint accepts a start time and an end time as parameters, and returns the files that were loaded within that time range. The maximum time range that can be specified is 15 minutes, and the maximum number of files that can be returned is 10,000. Therefore, to keep a log of data load history, the best option is to call the loadHistoryScan endpoint every 10 minutes for a 15-minute time range, and store the results in a log file or a table. This way, the log will capture all the files that were loaded by Snowpipe, and avoid any gaps or overlaps in the time range. The other options are incorrect because:
* Calling insertReport every 20 minutes, fetching the last 10,000 entries, will not provide a complete log of data load history, as some files may be missed or duplicated due to the asynchronous nature of Snowpipe. Moreover, insertReport only returns the status of the files that were submitted, not the files that were loaded.
* Calling loadHistoryScan every minute for the maximum time range will result in too many API calls and unnecessary overhead, as the same files will be returned multiple times. Moreover, the maximum time range is 15 minutes, not 1 minute.
* Calling insertReport every 8 minutes for a 10-minute time range will suffer from the same problems as option A, and also create gaps or overlaps in the time range.
Snowpipe REST API
Option 1: Loading Data Using the Snowpipe REST API
PIPE_USAGE_HISTORY
NEW QUESTION # 227
At which object type level can the APPLY MASKING POLICY, APPLY ROW ACCESS POLICY and APPLY SESSION POLICY privileges be granted?
Answer: B
Explanation:
The object type level at which the APPLY MASKING POLICY, APPLY ROW ACCESS POLICY and APPLY SESSION POLICY privileges can be granted is global. These are account-level privileges that control who can apply or unset these policies on objects such as columns, tables, views, accounts, or users. These privileges are granted to the ACCOUNTADMIN role by default, and can be granted to other roles as needed.
The other options are incorrect because they are not the object type level at which these privileges can be granted. Database, schema, and table are lower-level object types that do not support these privileges. References: Access Control Privileges | Snowflake Documentation, Using Dynamic Data Masking | Snowflake Documentation, Using Row Access Policies | Snowflake Documentation, Using Session Policies | Snowflake Documentation
NEW QUESTION # 228
......
New ARA-C01 Test Materials: https://www.testkingpass.com/ARA-C01-testking-dumps.html
P.S. Free & New ARA-C01 dumps are available on Google Drive shared by TestkingPass: https://drive.google.com/open?id=1_wPReExheBGMy_cuWyKF-stwZwO6FYGD