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ADA-C01 Prüfungsvorbereitung & ADA-C01 Prüfung

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Snowflake ADA-C01 Prüfungsplan:

Thema
Einzelheiten

Thema 1

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

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

Snowflake Security, Role-Based Access Control (RBAC), and User Administration
Disaster Recovery, Backup, and Data Replication

Thema 5

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

Thema 6

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

Thema 7

Set up and manage network and private connectivity
Given a scenario, manage Snowflake Time Travel and Fail-safe

>> ADA-C01 Prüfungsvorbereitung <<

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

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Snowflake SnowPro Advanced Administrator ADA-C01 Prüfungsfragen mit Lösungen (Q58-Q63):

58. Frage
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

A. Create it as a transient table with a retention time of 0 days.
B. Create it as an external table, which will not incur Time Travel costs.
C. Create it as a permanent table with a retention time of 0 days.
D. Create it as a temporary table with a retention time of 0 days.

Antwort: A

Begründung:
Explanation
According to the Snowflake documentation1, a transient table is a type of table that does not support Time Travel or Fail-safe, which means that it does not incur any storage costs for maintaining historical versions of the data or backups for disaster recovery. A transient table can be dropped at any time, and the data is not recoverable. A transient table can also have a retention time of 0 days, which means that the data is deleted immediately after the table is dropped or truncated. Therefore, creating the staging table as a transient table with a retention time of 0 days can minimize the storage costs and maximize the performance, as the data is only loaded and transformed once, and then deleted after the production tables are populated. Option A is incorrect because creating the staging table as an external table, which references data files stored in a cloud storage location, can incur additional costs and complexity for data transfer and synchronization, and may not provide the best performance for data loading and transformation. Option C is incorrect because creating the staging table as a temporary table, which is automatically dropped when the session ends or the user logs out, can cause data loss or inconsistency if the session is interrupted or terminated before the production tables are populated. Option D is incorrect because creating the staging table as a permanent table, which supports Time Travel and Fail-safe, can incur additional storage costs for maintaining historical versions of the data and backups for disaster recovery, and may not provide the best performance for data loading and transformation.

59. Frage
A company has many users in the role ANALYST who routinely query Snowflake through a reporting tool.
The Administrator has noticed that the ANALYST users keep two
small clusters busy all of the time, and occasionally they need three or four clusters of that size.
Based on this scenario, how should the Administrator set up a virtual warehouse to MOST efficiently support this group of users?

A. Create a standard X-Large warehouse, which is equivalent to four small clusters. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role.
B. Create a multi-cluster warehouse with MIN_CLUSTERS set to 1. Give MANAGE privileges to the ANALYST role so this group can start and stop the warehouse, and increase the number of clusters as needed.
C. Create four virtual warehouses (sized Small through XL) and set them to auto-suspend andauto-resume.
Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.
D. Create a multi-cluster warehouse with MIN_CLUSTERS set to 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.

Antwort: D

Begründung:
Explanation
According to the Snowflake documentation1, a multi-cluster warehouse is a virtual warehouse that consists of multiple clusters of compute resources that can scale up or down automatically to handle the concurrency and performance needs of the queries submitted to the warehouse. A multi-cluster warehouse has a minimum and maximum number of clusters that can be specified by the administrator. Option B is the most efficient way to support the group of users, as it allows the administrator to create a multi-cluster warehouse with MIN_CLUSTERS set to 2, which means that the warehouse will always have two clusters running to handle the standard workload. The warehouse can also auto-scale up to the maximum number of clusters (which can be set according to the peak workload) when there is a spike in demand, and then scale down when the demand decreases. The warehouse can also auto-resume and auto-suspend, which means that the warehouse will automatically start when a query is submitted and automatically stop after a period of inactivity. The administrator can also give USAGE privileges to the ANALYST role, which means that the users can use the warehouse to execute queries and load data, but not modify or operate the warehouse. Option A is not efficient, as it requires the users to manually start and stop the warehouse, and increase the number of clusters as needed, which can be time-consuming and error-prone. Option C is not efficient, as it creates a standard X-Large warehouse, which is equivalent to four small clusters, which may be more than needed for the standard workload, and may not be enough for the peak workload. Option D is not efficient, as it creates four virtual warehouses of different sizes, which can be confusing and cumbersome for the users to select the appropriate warehouse based on how many queries are being run, and may also result in wasted resources and costs.

60. Frage
.
Company A uses Snowflake to manage audio files of call recordings. Company A hired Company B, who also uses Snowflake, to transcribe the audio files for further analysis.
Company A's Administrator created a share.
What object should be added to the share to allow Company B access to the files?

A. A secure view with a column for pre-signed URLs.
B. A secure view with a column for file URLs.
C. A secure view with a column for METADATA$FILENAME.
D. A secure view with a column for the stage name and a column for the file path.

Antwort: A

Begründung:
Explanation
According to the Snowflake documentation1, pre-signed URLs are required to access external files in a share.
A secure view can be used to generate pre-signed URLs for the audio files stored in an external stage and expose them to the consumer account. Option A is incorrect because file URLs alone are not sufficient to access external files in a share. Option C is incorrect because METADATA$FILENAME only returns the file name, not the full path or URL. Option D is incorrect because the stage name and file path are not enough to generate pre-signed URLs.

61. Frage
A Snowflake organization MYORG consists of two Snowflake accounts:

The ACCOUNT1 has a database PROD_DB and the ORGADMIN role enabled.
Management wants to have the PROD_DB database replicated to ACCOUNT2.
Are there any necessary configuration steps in ACCOUNT1 before the database replication can be configured and initiated in ACCOUNT2?

A. No configuration steps are necessary in ACCOUNT1. Replicating databases across accounts within the same Snowflake organization is enabled by default.
B. USE ROLE ORGADMIN;
SELECT SYSTEMSGLOBAL_ACCOUNT_SET_PARAMETER ('MYORG. ACCOUNT1',
'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE');
SELECT SYSTEMSGLOBAL_ACCOUNT_SET_PARAMETER ('MYORG. ACCOUNT2',
'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE');
USE ROLE ACCOUNTADMIN;
ALTER DATABASE PROD DB ENABLE REPLICATION TO ACCOUNTS MYORG. ACCOUNT2;
C. It is not possible to replicate a database from an Enterprise edition Snowflake account to a Standard edition Snowflake account.
D. USE ROLE ORGADMIN;
SELECT SYSTEMSGLOBAL ACCOUNT SET_PARAMETER ( 'MYORG. ACCOUNT1',
'ENABLE_ACCOUNT_DATABASE_REPLICATION', 'TRUE');
USE ROLE ACCOUNTADMIN;
ALTER DATABASE PROD_DB ENABLE REPLICATION TO ACCOUNTS MYORG. ACCOUNT2
IGNORE EDITION CHECK;

Antwort: D

Begründung:
Explanation
According to the Snowflake documentation1, database replication across accounts within the same organization requires the following steps:
*Link the accounts in the organization using the ORGADMIN role.
*Enable account database replication for both the source and target accounts using the SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function.
*Promote a local database to serve as the primary database and enable replication to the target accounts using the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command.
*Create a secondary database in the target account using the CREATE DATABASE ... FROM SHARE command.
*Refresh the secondary database periodically using the ALTER DATABASE ... REFRESH command.
Option A is incorrect because it does not include the step of creating a secondary database in the target account. Option C is incorrect because replicating databases across accounts within the same organization is not enabled by default, but requires enabling account database replication for both the source and target accounts. Option D is incorrect because it is possible to replicate a database from an Enterprise edition Snowflake account to a Standard edition Snowflake account, as long as the IGNORE EDITION CHECK option is used in the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command2.
Option B is correct because it includes all the necessary configuration steps in ACCOUNT1, except for creating a secondary database in ACCOUNT2, which can be done after the replication is enabled.

62. Frage
MY_TABLE is a table that has not been updated or modified for several days. On 01 January 2021 at 07:01, a user executed a query to update this table. The query ID is
'8e5d0ca9-005e-44e6-b858-a8f5b37c5726'. It is now 07:30 on the same day.
Which queries will allow the user to view the historical data that was in the table before this query was executed? (Select THREE).

A. SELECT * FROM my table WITH TIME_TRAVEL (OFFSET => -60*30);
B. SELECT * FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
C. SELECT * FROM my table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
D. SELECT * FROM my_table AT (TIMESTAMP => '2021-01-01 07:00:00' :: timestamp);
E. SELECT * FROM my_table AT (OFFSET => -60*30);
F. SELECT * FROM TIME_TRAVEL ('MY_TABLE', 2021-01-01 07:00:00);

Antwort: B,C,D

Begründung:
Explanation
According to the AT | BEFORE documentation, the AT or BEFORE clause is used for Snowflake Time Travel, which allows you to query historical data from a table based on a specific point in the past. The clause can use one of the following parameters to pinpoint the exact historical data you wish to access:
*TIMESTAMP: Specifies an exact date and time to use for Time Travel.
*OFFSET: Specifies the difference in seconds from the current time to use for Time Travel.
*STATEMENT: Specifies the query ID of a statement to use as the reference point for Time Travel.
Therefore, the queries that will allow the user to view the historical data that was in the table before the query was executed are:
*B. SELECT * FROM my_table AT (TIMESTAMP => '2021-01-01 07:00:00' :: timestamp); This query uses the TIMESTAMP parameter to specify a point in time that is before the query execution time of 07:01.
*D. SELECT * FROM my table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'; This query uses the PRIOR TO STATEMENT keyword and the STATEMENT parameter to specify a point in time that is immediately preceding the query execution time of 07:01.
*F. SELECT * FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'); This query uses the BEFORE keyword and the STATEMENT parameter to specify a point in time that is immediately preceding the query execution time of 07:01.
The other queries are incorrect because:
*A. SELECT * FROM my table WITH TIME_TRAVEL (OFFSET => -60*30); This query uses the OFFSET parameter to specify a point in time that is 30 minutes before the current time, which is 07:30. This is after the query execution time of 07:01, so it will not show the historical data before the query was executed.
*C. SELECT * FROM TIME_TRAVEL ('MY_TABLE', 2021-01-01 07:00:00); This query is not valid syntax for Time Travel. The TIME_TRAVEL function does not exist in Snowflake. The correct syntax is to use the AT or BEFORE clause after the table name in the FROM clause.
*E. SELECT * FROM my_table AT (OFFSET => -60*30); This query uses the AT keyword and the OFFSET parameter to specify a point in time that is 30 minutes before the current time, which is 07:30. This is equal to the query execution time of 07:01, so it will not show the historical data before the query was executed. The AT keyword specifies that the request is inclusive of any changes made by a statement or transaction with timestamp equal to the specified parameter. To exclude the changes made by the query, the BEFORE keyword should be used instead.

63. Frage
......

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