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ADA-C01 PrüfungGuide, Snowflake ADA-C01 Zertifikat - SnowPro Advanced Administrator

Die Snowflake ADA-C01 Prüfung zu bestehen ist eigentlich nicht leicht. Trotzdem ist die Zertifizierung nicht nur ein Beweis für Ihre IT-Fähigkeit, sondern auch ein weltweit anerkannter Durchgangsausweis. Auf Snowflake ADA-C01 vorzubereiten darf man nicht blindlings. Die Technik-Gruppe von uns Zertpruefung haben die Prüfungssoftware der Snowflake ADA-C01 nach der Mnemotechnik entwickelt. Sie kann mit vernünftiger Methode Ihre Belastungen der Vorbereitung auf Snowflake ADA-C01 erleichtern.

Die Snowflake ADA-C01 Prüfung zu bestehen ist eigentlich nicht leicht. Trotzdem ist die Zertifizierung nicht nur ein Beweis für Ihre IT-Fähigkeit, sondern auch ein weltweit anerkannter Durchgangsausweis. Auf Snowflake ADA-C01 vorzubereiten darf man nicht blindlings. Die Technik-Gruppe von uns Zertpruefung haben die Prüfungssoftware der Snowflake ADA-C01 nach der Mnemotechnik entwickelt. Sie kann mit vernünftiger Methode Ihre Belastungen der Vorbereitung auf Snowflake ADA-C01 erleichtern.

>> ADA-C01 Fragenkatalog <<

ADA-C01 Simulationsfragen, ADA-C01 Deutsche Prüfungsfragen

Die Fragenkataloge von Snowflake ADA-C01 von unserem Zertpruefung existieren in der Form von PDF und Stimulationssoftware. Wir aktualisieren unsere Materialien regelmäßig, so dass Sie immer die aktuellen und genauen Informationen über die Fragenkataloge von Snowflake ADA-C01 erhalten können. Nach langjährigen Bemühungen haben unsere Erfolgsquote von der Snowflake ADA-C01 Zertifizierungsprüfung 100% erreicht.

Snowflake ADA-C01 Prüfungsplan:

Thema
Einzelheiten

Thema 1

• Given a scenario, create and manage access control
• Given a scenario, implement resource monitors

Thema 2

• Interpret and make recommendations for data clustering
• Manage DML locking and concurrency in Snowflake

Thema 3

• Given a scenario, configure access controls
• Set up and manage security administration and authorization

Thema 4

• Manage and implement data sharing
• Given a set of business requirements, establish access control architecture

Thema 5

• Given a scenario, manage databases, tables, and views
• Manage organizations and access control

Thema 6

• Implement and manage data governance in Snowflake
• Data Sharing, Data Exchange, and Snowflake Marketplace

 

Snowflake SnowPro Advanced Administrator ADA-C01 Prüfungsfragen mit Lösungen (Q20-Q25):

20. Frage
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. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
• 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 fact and dimension tables should have the same DATA_RETENTION_TIME_IN_ DAYS.
• D. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
• E. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).

Antwort: B,C

Begründung:
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.

 

21. Frage
A Snowflake Administrator created a role ROLE_MANAGED_ACCESS and a schema SCHEMA_MANAGED_ACCESS as follows:
USE ROLE SECURITYADMIN;
CREATE ROLE ROLE_MANAGED_ACCESS;
GRANT ROLE ROLE_MANAGED_ACCESS TO ROLE SYSADMIN;
GRANT USAGE ON WAREHOUSE COMPUTE_WH TO ROLE ROLE_MANAGED_ACCESS;
GRANT ALL privileges ON DATABASE WORK TO ROLE ROLE_MANAGED_ACCESS;
USE ROLE ROLE_MANAGED_ACCESS;
CREATE SCHEMA SCHEMA_MANAGED_ACCESS WITH MANAGED ACCESS;
USE ROLE SECURITYADMIN;
GRANT SELECT, INSERT ON FUTURE TABLES IN SCHEMA SCHEMA MANAGED ACCESS to ROLE_MANAGED_ACCESS; The Administrator now wants to disable the managed access on the schema.
How can this be accomplished?

• A. REVOKE SELECT, INSERT ON FUTURE TABLES IN SCHEMA SCHEMA_MANAGED_ACCESS FROM ROLE_MANAGED_ACCESS; ALTER SCHEMA SCHEMA MANAGED ACCESS DISABLE MANAGED ACCESS;
• B. USE ROLE ROLE_MANAGED_ACCESS;
  DROP SCHEMA WORK. SCHEMA MANAGED_ACCESS;
  CREATE SCHEMA SCHEMA_MANAGED_ACCESS WITHOUT MANAGED ACCESS;
  Then recreate all needed objects.
• C. USE ROLE ROLE MANAGED_ACCESS;
  DROP SCHEMA WORK. SCHEMA_MANAGED_ACCESS;
  CREATE SCHEMA SCHEMA_MANAGED_ACCESS;
  Then recreate all needed objects.
• D. ALTER SCHEMA SCHEMA MANAGED ACCESS DISABLE MANAGED ACCESS;

Antwort: D

Begründung:
According to the Snowflake documentation1, you can change a managed access schema to a regular schema using the ALTER SCHEMA statement with the DISABLE MANAGED ACCESS keywords. This will disable the managed access feature on the schema and revert the access control to the default behavior. Option B is incorrect because dropping and recreating the schema will also delete all the objects and metadata in the schema, which is not necessary to disable the managed access. Option C is incorrect because revoking the privileges on the future tables from the role is not required to disable the managed access. Option D is incorrect because there is no WITHOUT MANAGED ACCESS option in the CREATE SCHEMA statement.

 

22. Frage
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 data. 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. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
• 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 fact and dimension tables should have the same DATA_RETENTION_TIME_IN_ DAYS.
• D. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
• E. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).

Antwort: B,C

Begründung:
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.

 

23. Frage
A Snowflake Administrator needs to persist all virtual warehouse configurations for auditing and backups.
Given a table already exists with the following schema:
Table Name:VWH_META
Column 1:SNAPSHOT_TIME TIMESTAMP_NTZ
Column 2:CONFIG VARIANT
Which commands should be executed to persist the warehouse data at the time of execution in JSON format in the table VWH META?

• A. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH META
  SELECT CURRENT TIMESTAMP (), *
  FROM TABLE (RESULT_SCAN (LAST_QUERY_ID ())) ;
• B. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH_META
  SELECT CURRENT_TIMESTAMP (),
  OBJECT CONSTRUCT (*)
  FROM TABLE (RESULT_SCAN (LAST_QUERY_ID ()));
• C. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH META
  SELECT CURRENT TIMESTAMP (), *
  FROM TABLE (RESULT_SCAN (SELECT
  LAST QUERY ID(-1)));
• D. 1. SHOW WAREHOUSES;
  2. INSERT INTO VWH META
  SELECT CURRENT TIMESTAMP (),
  FROM TABLE (RESULT_SCAN (LAST_QUERY_ID(1) ) ) ;

Antwort: B

Begründung:
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. The LAST_QUERY_ID function returns the query ID of the most recent statement executed in the current session. Therefore, the combination of these two functions can be used to access the output of the SHOW WAREHOUSES command, which returns the configurations of all the virtual warehouses in the account. However, to persist the warehouse data in JSON format in the table VWH_META, the OBJECT_CONSTRUCT function is needed to convert the output of the SHOW WAREHOUSES command into a VARIANT column. The OBJECT_CONSTRUCT function takes a list of key-value pairs and returns a single JSON object. Therefore, the correct commands to execute are:
1.SHOW WAREHOUSES;
2.INSERT INTO VWH_META SELECT CURRENT_TIMESTAMP (), OBJECT_CONSTRUCT (*) FROM TABLE (RESULT_SCAN (LAST_QUERY_ID ())); The other options are incorrect because:
*A. This option does not use the OBJECT_CONSTRUCT function, so it will not persist the warehouse data in JSON format. Also, it is missing the * symbol in the SELECT clause, so it will not select any columns from the result set of the SHOW WAREHOUSES command.
*B. This option does not use the OBJECT_CONSTRUCT function, so it will not persist the warehouse data in JSON format. It will also try to insert multiple columns into a single VARIANT column, which will cause a type mismatch error.
*D. This option does not use the OBJECT_CONSTRUCT function, so it will not persist the warehouse data in JSON format. It will also try to use the RESULT_SCAN function on a subquery, which is not supported. The RESULT_SCAN function can only be used on a query ID or a table name.

 

24. Frage
What are characteristics of data replication in Snowflake? (Select THREE).

• A. To start replication run the ALTER DATABASE ... REFRESH command on the account where the secondary database resides.
• B. Replication can only occur within the same cloud provider.
• C. Users must be granted REPLICATIONADMIN privileges in order to enable replication.
• D. Users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization.
• E. Databases created from shares can be replicated.
• F. The ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account.

Antwort: D,E,F

Begründung:
Explanation
*Option A is correct because the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account that owns the database to be replicated1.
*Option B is incorrect because users must be granted REPLICATIONGRANTER privileges in order to enable replication1.
*Option C is incorrect because to start replication, the ALTER DATABASE ... REFRESH command must be run on the primary database, not the secondary database1.
*Option D is incorrect because replication can occur across different cloud providers, as well as across regions2.
*Option E is correct because databases created from shares can be replicated, as long as the share is active and the database is not dropped or altered1.
*Option F is correct because users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization1.

 

25. Frage
......

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