2025 REALISTIC ADA-C01 LATEST BRAINDUMPS EBOOK - LATEST SNOWPRO ADVANCED ADMINISTRATOR BRAINDUMPS

2025 Realistic ADA-C01 Latest Braindumps Ebook - Latest SnowPro Advanced Administrator Braindumps

2025 Realistic ADA-C01 Latest Braindumps Ebook - Latest SnowPro Advanced Administrator Braindumps

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Snowflake ADA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Given a scenario, manage databases, tables, and views
  • Manage organizations and access control
Topic 2
  • Implement and manage data governance in Snowflake
  • Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 3
  • Given a scenario, create and manage access control
  • Given a scenario, implement resource monitors
Topic 4
  • Set up and manage network and private connectivity
  • Given a scenario, manage Snowflake Time Travel and Fail-safe
Topic 5
  • Interpret and make recommendations for data clustering
  • Manage DML locking and concurrency in Snowflake
Topic 6
  • Snowflake Security, Role-Based Access Control (RBAC), and User Administration
  • Disaster Recovery, Backup, and Data Replication
Topic 7
  • Given a scenario, configure access controls
  • Set up and manage security administration and authorization

Snowflake SnowPro Advanced Administrator Sample Questions (Q11-Q16):

NEW QUESTION # 11
An Administrator has a table named SALES_DATA which needs some edits, but the Administrator does not want to change the main table dat a. The Administrator decides to make a transient copy of this table and wants the transient table to have all the same permissions as the original table.
How can the Administrator create the transient table so it inherits the same permissions as the original table, and what considerations need to be made concerning the requirements? (Select TWO).

  • A. Use the following SQL command:
    create transient table TRANSIENT_SALES_DATA as select * from SALES_DATA;
  • B. Use the following SQL commands:
    create transient table TRANSIENT_SALES_DATA like SALES_DATA copy grants; insert into TRANSIENT_SALES_DATA select * from SALES_DATA;
  • C. Use the following SQL command:
    create transient table TRANSIENT SALES DATA as select * from SALES_DATA copy grants;
  • D. Transient tables will be purged at the end of the user session and do not have any Fail-safe period.
  • E. Transient tables will persist until explicitly dropped and contribute to overall storage costs.

Answer: C,E

Explanation:
According to the Snowflake documentation1, the COPY GRANTS option can be used to copy all privileges, except OWNERSHIP, from the existing table to the new transient table. This option also preserves any future grants defined for the object type in the schema. Option A is incorrect because it does not copy any grants from the original table. Option C is incorrect because it does not copy the data from the original table, only the structure and grants. Option E is incorrect because transient tables are not session-based and do not have a Fail-safe period, but they do have a Time Travel retention period2.
1: CREATE TABLE | Snowflake Documentation 2: Working with Temporary and Transient Tables | Snowflake Documentation


NEW QUESTION # 12
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

  • A. No, because joins are not supported by materialized views.
  • B. Yes, because materialized views are always faster.
  • C. No, because the optimizer might decide against it.
  • D. No, because the materialized view may not be up-to-date.

Answer: C

Explanation:
Snowflake's query optimizer can automatically rewrite queries against the base table or regular views to use the materialized view instead, if the query matches the definition of the materialized view1. However, this is not always guaranteed, as the optimizer might decide against using the materialized view based on various factors, such as the freshness of the data, the size of the result set, the complexity of the query, and the availability of the materialized view2. Therefore, the answer is no, because the optimizer might decide against it.


NEW QUESTION # 13
A Snowflake user runs a complex SQL query on a dedicated virtual warehouse that reads a large amount of data from micro-partitions. The same user wants to run another query that uses the same data set.
Which action would provide optimal performance for the second SQL query?

  • A. Prevent the virtual warehouse from suspending between the running of the first and secondqueries.
  • B. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
  • C. Assign additional clusters to the virtual warehouse.
  • D. Use the RESULT_SCAN function to post-process the output of the first query.

Answer: D

Explanation:
Explanation
According to the Using Persisted Query Results documentation, the RESULT_SCAN function allows you to query the result set of a previous command as if it were a table. This can improve the performance of the second query by avoiding reading the same data from micro-partitions again. The other actions do not provide optimal performance for the second query because:
*Assigning additional clusters to the virtual warehouse does not affect the data access speed, but only the query execution speed. It also increases the cost of the warehouse.
*Increasing the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session does not improve the performance of the query, but only allows it to run longer before timing out. It also increases the risk of resource contention and deadlock.
*Preventing the virtual warehouse from suspending between the running of the first and second queries does not guarantee that the data will be cached in memory, as Snowflake uses a least recently used (LRU) cache eviction policy. It also increases the cost of the warehouse.
https://docs.snowflake.com/en/user-guide/querying-persisted-results


NEW QUESTION # 14
An Administrator has a user who needs to be able to suspend and resume a task based on the current virtual warehouse load, but this user should not be able to modify the task or start a new run.
What privileges should be granted to the user to meet these requirements? (Select TWO).

  • A. OWNERSHIP on the task
  • B. OWNERSHIP on the database and schema containing the task
  • C. USAGE on the database and schema containing the task
  • D. OPERATE on the task
  • E. EXECUTE TASK on the task

Answer: C,D

Explanation:
Explanation
The user needs the OPERATE privilege on the task to suspend and resume it, and the USAGE privilege on the database and schema containing the task to access it1. The EXECUTE TASK privilege is not required for suspending and resuming a task, only for triggering a new run1. The OWNERSHIP privilege on the task or the database and schema would allow the user to modify or drop the task, which is not desired.


NEW QUESTION # 15
A Snowflake Administrator needs to set up Time Travel for a presentation area that includes facts and dimensions tables, and receives a lot of meaningless and erroneous loT dat a. Time Travel is being used as a component of the company's data quality process in which the ingestion pipeline should revert to a known quality data state if any anomalies are detected in the latest load. Data from the past 30 days may have to be retrieved because of latencies in the data acquisition process.
According to best practices, how should these requirements be met? (Select TWO).

  • A. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
  • B. The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data.
  • C. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
  • D. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_ DAYS.
  • E. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.

Answer: B,D

Explanation:
According to the Understanding & Using Time Travel documentation, Time Travel is a feature that allows you to query, clone, and restore historical data in tables, schemas, and databases for up to 90 days. To meet the requirements of the scenario, the following best practices should be followed:
* The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS. This parameter specifies the number of days for which the historical data is preserved and can be accessed by Time Travel. To ensure that the fact and dimension tables can be reverted to a consistent state in case of any anomalies in the latest load, they should have the same retention period. Otherwise, some tables may lose their historical data before others, resulting in data inconsistency and quality issues.
* The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data. Cloning is a way of creating a copy of an object (table, schema, or database) at a specific point in time using Time Travel. To ensure that the fact and dimension tables are cloned with the same data set, they should be cloned together using the same AT or BEFORE clause. This will avoid any referential integrity issues that may arise from cloning tables at different points in time.
The other options are incorrect because:
* Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas. This is not a best practice for Time Travel, as it does not affect the ability to query, clone, or restore historical data. However, it may be a good practice for data modeling and organization, depending on the use case and design principles.
* The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas). This is not a best practice for Time Travel, as it limits the flexibility and granularity of setting the retention period for different objects. The retention period can be set at the account, database, schema, or table level, and the most specific setting overrides the more general ones. This allows for customizing the retention period based on the data needs and characteristics of each object.
* Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables. This is not a best practice for Time Travel, as it does not affect the referential integrity between the tables. Transient tables are tables that do not have a Fail-safe period, which means that they cannot be recovered by Snowflake after the retention period ends. However, they still support Time Travel within the retention period, and can be queried, cloned, and restored like permanent tables. The choice of table type depends on the data durability and availability requirements, not on the referential integrity.


NEW QUESTION # 16
......

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