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| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Architect Certification Exam |
| Exam Number: | ARA-C01 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 115 minutes |
| Related Certifications: | SnowPro Advanced: Data Engineer SnowPro Core SnowPro Advanced: Data Analyst |
| Available Languages: | English |
| Real Exam Qty: | 65 |
| Exam Format: | Multiple Select, Multiple Choice |
| Passing Score: | 750 / 1000 |
| Exam Price: | USD 375 |
| Recommended Training: | Snowflake Documentation Snowflake Advanced Architect Learning Path |
| Exam Registration: | Snowflake Certification Portal Pearson VUE Registration |
| 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/ |
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The SnowPro Advanced Architect Certification is an essential certification for architects, data engineers, and data scientists who work with Snowflake Data Cloud. SnowPro Advanced Architect Certification certification validates the candidate's expertise in designing, implementing, and managing complex Snowflake environments that meet the business requirements of modern data-driven organizations. It is a globally recognized certification that provides a competitive edge to candidates in the job market and opens up new opportunities for career growth.
NEW QUESTION # 133
You can define a clustering key directly on top of VARIANT columns
Answer: A
NEW QUESTION # 134
How is the change of local time due to daylight savings time handled in Snowflake tasks? (Choose two.)
Answer: A,D
Explanation:
According to the Snowflake documentation1 and the web search results2, these two statements are true about how the change of local time due to daylight savings time is handled in Snowflake tasks. A task is a feature that allows scheduling and executing SQL statements or stored procedures in Snowflake. A task can be scheduled using a cron expression that specifies the frequency and time zone of the task execution.
* A task scheduled in a UTC-based schedule will have no issues with the time changes. UTC is a universal time standard that does not observe daylight savings time. Therefore, a task that uses UTC as the time zone will run at the same time throughout the year, regardless of the local time changes1.
* Task schedules can be designed to follow specified or local time zones to accommodate the time changes. Snowflake supports using any valid IANA time zone identifier in the cron expression for a task. This allows the task to run according to the local time of the specified time zone, which may include daylight savings time adjustments. For example, a task that uses Europe/London as the time zone will run one hour earlier or later when the local time switches between GMT and BST12.
Snowflake Documentation: Scheduling Tasks
Snowflake Community: Do the timezones used in scheduling tasks in Snowflake adhere to daylight savings?
NEW QUESTION # 135
An Architect would like to save quarter-end financial results for the previous six years.
Which Snowflake feature can the Architect use to accomplish this?
Answer: C
NEW QUESTION # 136
Company A would like to share data in Snowflake with Company B. Company B is not on the same cloud platform as Company A.
What is required to allow data sharing between these two companies?
Answer: B
Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the requirement to allow data sharing between two companies that are not on the same cloud platform is to set up data replication to the region and cloud platform where the consumer resides. Data replication is a feature of Snowflake that enables copying databases across accounts in different regions and cloud platforms. Data replication allows data providers to securely share data with data consumers across different regions and cloud platforms by creating a replica database in the consumer's account. The replica database is read-only and automatically synchronized with the primary database in the provider's account. Data replication is useful for scenarios where data sharing is not possible or desirable due to latency, compliance, or security reasons1. The other options are incorrect because they are not required or feasible to allow data sharing between two companies that are not on the same cloud platform. Option A is incorrect because creating a pipeline to write shared data to a cloud storage location in the target cloud provider is not a secure or efficient way of sharing data. It would require additional steps to load the data from the cloud storage to the consumer's account, and it would not leverage the benefits of Snowflake's data sharing features. Option B is incorrect because ensuring that all views are persisted is not relevant for data sharing across cloud platforms. Views can be shared across cloud platforms as long as they reference objects in the same database. Persisting views is an option to improve the performance of querying views, but it is not required for data sharing2. Option D is incorrect because Company A and Company B do not need to agree to use a single cloud platform. Data sharing is possible across different cloud platforms using data replication or other methods, such as listings or auto-fulfillment3. Reference: Replicating Databases Across Multiple Accounts | Snowflake Documentation, Persisting Views | Snowflake Documentation, Sharing Data Across Regions and Cloud Platforms | Snowflake Documentation
NEW QUESTION # 137
You are running a large join on snowflake. You ran it on a medium warehouse and it took almost an hour to run. You then tried to run the join on a large warehouse but still the performance did not improve.
What may be the most possible cause of this.
Answer: C
NEW QUESTION # 138
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