ARA-C01 NEW DUMPS FREE - PRACTICE TEST ARA-C01 PDF

ARA-C01 New Dumps Free - Practice Test ARA-C01 Pdf

ARA-C01 New Dumps Free - Practice Test ARA-C01 Pdf

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q97-Q102):

NEW QUESTION # 97
With default settings for multi cluster warehouse, how does snowflake determines when to start a new cluster?

  • A. Immediately when either a query is queued or the system detects that there's one more query than the currently-running clusters can execute
  • B. Only if the system estimates there's enough query load to keep the cluster busy for at least 4 minutes.
  • C. Only if the system estimates there's enough query load to keep the cluster busy for at least 6 minutes.

Answer: A


NEW QUESTION # 98
A new user user_01 is created within Snowflake. The following two commands are executed:
Command 1-> show grants to user user_01;
Command 2 ~> show grants on user user 01;
What inferences can be made about these commands?

  • A. Command 1 defines all the grants which are given to user_01 Command 2 defines which role owns user 01
  • B. Command 1 defines all the grants which are given to user_01 Command 2 defines which user owns user_01
  • C. Command 1 defines which user owns user_01
    Command 2 defines all the grants which have been given to user_01
  • D. Command 1 defines which role owns user_01
    Command 2 defines all the grants which have been given to user_01

Answer: A

Explanation:
The SHOW GRANTS command in Snowflake can be used to list all the access control privileges that have been explicitly granted to roles, users, and shares. The syntax and the output of the command vary depending on the object type and the grantee type specified in the command1. In this question, the two commands have the following meanings:
Command 1: show grants to user user_01; This command lists all the roles granted to the user user_01. The output includes the role name, the grantee name, and the granted by role name for each grant. This command is equivalent to show grants to user current_user if user_01 is the current user1.
Command 2: show grants on user user_01; This command lists all the privileges that have been granted on the user object user_01. The output includes the privilege name, the grantee name, and the granted by role name for each grant. This command shows which role owns the user object user_01, as the owner role has the privilege to modify or drop the user object2.
Therefore, the correct inference is that command 1 defines all the grants which are given to user_01, and command 2 defines which role owns user_01.
Reference:
SHOW GRANTS
Understanding Access Control in Snowflake


NEW QUESTION # 99
How is the change of local time due to daylight savings time handled in Snowflake tasks? (Choose two.)

  • A. A task scheduled in a UTC-based schedule will have no issues with the time changes.
  • B. A task will move to a suspended state during the daylight savings time change.
  • C. Task schedules can be designed to follow specified or local time zones to accommodate the time changes.
  • D. A task schedule will follow only the specified time and will fail to handle lost or duplicated hours.
  • E. A frequent task execution schedule like minutes may not cause a problem, but will affect the task history.

Answer: A,C

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.
References:
* Snowflake Documentation: Scheduling Tasks
* Snowflake Community: Do the timezones used in scheduling tasks in Snowflake adhere to daylight savings?


NEW QUESTION # 100
Data is being imported and stored as JSON in a VARIANT column. Query performance was fine, but most recently, poor query performance has been reported.
What could be causing this?

  • A. There were variations in string lengths for the JSON values in the recent data imports.
  • B. There were JSON nulls in the recent data imports.
  • C. The recent data imports contained fewer fields than usual.
  • D. The order of the keys in the JSON was changed.

Answer: D

Explanation:
Data is being imported and stored as JSON in a VARIANT column. Query performance was fine, but most recently, poor query performance has been reported. This could be caused by the following factors:
* The order of the keys in the JSON was changed. Snowflake stores semi-structured data internally in a column-like structure for the most common elements, and the remainder in a leftovers-like column. The order of the keys in the JSON affects how Snowflake determines the common elements and how it optimizes the query performance. If the order of the keys in the JSON was changed, Snowflake might have to re-parse the data and re-organize the internal storage, which could result in slower query performance.
* There were variations in string lengths for the JSON values in the recent data imports. Non-native values, such as dates and timestamps, are stored as strings when loaded into a VARIANT column.
Operations on these values could be slower and also consume more space than when stored in a relational column with the corresponding data type. If there were variations in string lengths for the JSON values in the recent data imports, Snowflake might have to allocate more space and perform more conversions, which could also result in slower query performance.
The other options are not valid causes for poor query performance:
* There were JSON nulls in the recent data imports. Snowflake supports two types of null values in semi-structured data: SQL NULL and JSON null. SQL NULL means the value is missing or unknown, while JSON null means the value is explicitly set to null. Snowflake can distinguish between these two types of null values and handle them accordingly. Having JSON nulls in the recent data imports should not affect the query performance significantly.
* The recent data imports contained fewer fields than usual. Snowflake can handle semi-structured data with varying schemas and fields. Having fewer fields than usual in the recent data imports should not affect the query performance significantly, as Snowflake can still optimize the data ingestion and query execution based on the existing fields.
References:
* Considerations for Semi-structured Data Stored in VARIANT
* Snowflake Architect Training
* Snowflake query performance on unique element in variant column
* Snowflake variant performance


NEW QUESTION # 101
How is the change of local time due to daylight savings time handled in Snowflake tasks? (Choose two.)

  • A. A task scheduled in a UTC-based schedule will have no issues with the time changes.
  • B. A task will move to a suspended state during the daylight savings time change.
  • C. Task schedules can be designed to follow specified or local time zones to accommodate the time changes.
  • D. A task schedule will follow only the specified time and will fail to handle lost or duplicated hours.
  • E. A frequent task execution schedule like minutes may not cause a problem, but will affect the task history.

Answer: A,C

Explanation:
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.
References:
* Snowflake Documentation: Scheduling Tasks
* Snowflake Community: Do the timezones used in scheduling tasks in Snowflake adhere to daylight savings?


NEW QUESTION # 102
......

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