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Snowflake ADA-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Advanced Administrator Sample Questions (Q65-Q70):

NEW QUESTION # 65
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. 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;
B. It is not possible to replicate a database from an Enterprise edition Snowflake account to a Standard edition Snowflake account.
C. 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;
D. No configuration steps are necessary in ACCOUNT1. Replicating databases across accounts within the same Snowflake organization is enabled by default.

Answer: C

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.

NEW QUESTION # 66
A retailer uses a TRANSACTIONS table (100M rows, 1.2 TB) that has been clustered by the STORE_ID column (varchar(50)). The vast majority of analyses on this table are grouped by STORE_ID to look at store performance.
There are 1000 stores operated by the retailer but most sales come from only 20 stores. The Administrator notes that most queries are currently experiencing poor pruning, with large amounts of bytes processed by even simple queries.
Why is this occurring?

A. Sales across stores are not uniformly distributed.
B. The table is not big enough to take advantage of the clustering key.
C. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
D. The STORE_ID should be numeric.

Answer: A

Explanation:
According to the Snowflake documentation1, clustering keys are most effective when the data is evenly distributed across the key values. If the data is skewed, such as in this case where most sales come from only 20 stores out of 1000, then the micro-partitions will not be well-clustered and the pruning will be poor. This means that more bytes will be scanned by queries, even if they filter by STORE_ID. Option A is incorrect because the data type of the clustering key does not affect the pruning. Option B is incorrect because the table is large enough to benefit from clustering, if the data was more balanced. Option D is incorrect because the cardinality of the clustering key is not relevant for pruning, as long as the key values are distinct.
1: Considerations for Choosing Clustering for a Table | Snowflake Documentation

NEW QUESTION # 67
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 (LAST_QUERY_ID(1) ) ) ;
D. 1. SHOW WAREHOUSES;
2. INSERT INTO VWH META
SELECT CURRENT TIMESTAMP (), *
FROM TABLE (RESULT_SCAN (SELECT
LAST QUERY ID(-1)));

Answer: B

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.

NEW QUESTION # 68
Which masking policy will mask a column whenever it is queried through a view owned by a role named MASKED_VIEW_ROLE?

A. create or replace masking policy maskstring as (val string) returns string -> case when is_role_in_session ('MASKED_VIEW_ROLE') then ' ** else val end;
*,
B. create or replace masking policy maskString as (val string) returns string -> case when array_contains ('MASKED_VIEW_ROLE' :: variant, parse_json (current_available_roles ())) then
'*
else val
end;
** '
C. create or replace masking policy maskString as (val string) returns string -> case when current_role() in ('MASKED_VIEW_ROLE') then ' ********* ' else val end;
D. create or replace masking policy maskstring as (val string) returns string -> case when invoker_role() in ('MASKED_VIEW_ROLE') then else val end;
' **

Answer: A

Explanation:
Explanation
A masking policy is a SQL expression that transforms the data in a column based on the role that queries the column1. The is_role_in_session function returns true if the specified role is in the current session2. Therefore, the masking policy in option A will mask the column data with asterisks whenever it is queried through a view owned by the MASKED_VIEW_ROLE3. The other options use different functions that do not check the ownership of the view, but rather the current role, the invoker role, or the available roles in the session45.
These functions may not return the desired result if the role that owns the view is different from the role that queries the view.

NEW QUESTION # 69
A company has implemented Snowflake replication between two Snowflake accounts, both of which are running on a Snowflake Enterprise edition. The replication is for the database APP_DB containing only one schema, APP_SCHEMA.
The company's Time Travel retention policy is currently set for 30 days for both accounts. An Administrator has been asked to extend the Time Travel retention policy to 60 days on the secondary database only.
How can this requirement be met?

A. Set the data retention policy on the primary database to 60 days.
B. Set the data retention policy on the schemas in the secondary database to 60 days.
C. Set the data retention policy on the primary database to 30 days and the schemas to 60 days.
D. Set the data retention policy on the secondary database to 60 days.

Answer: D

Explanation:
According to the Replication considerations documentation, the Time Travel retention period for a secondary database can be different from the primary database. The retention period can be set at the database, schema, or table level using the DATA_RETENTION_TIME_IN_DAYS parameter. Therefore, to extend the Time Travel retention policy to 60 days on the secondary database only, the best option is to set the data retention policy on the secondary database to 60 days using the ALTER DATABASE command. The other options are incorrect because:
* B. Setting the data retention policy on the schemas in the secondary database to 60 days will not affect the database-level retention period, which will remain at 30 days. The most specific setting overrides the more general ones, so the schema-level setting will apply to the tables in the schema, but not to the database itself.
* C. Setting the data retention policy on the primary database to 30 days and the schemas to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.
* D. Setting the data retention policy on the primary database to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.

NEW QUESTION # 70
......

This format is for candidates who do not have the time or energy to use a computer or laptop for preparation. The ADA-C01 PDF file includes real ADA-C01 questions, and they can be easily printed and studied at any time. ActualTorrent regularly updates its PDF file to ensure that its readers have access to the updated questions.

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ADA-C01 VALID EXAM VCE FREE, ADA-C01 ONLINE TRAINING MATERIALS

ADA-C01 Valid Exam Vce Free, ADA-C01 Online Training Materials