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시험패스가능한ADA-C01덤프공부인증공부

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Snowflake ADA-C01 시험요강:
주제 소개
주제 1 Interpret and make recommendations for data clustering
Manage DML locking and concurrency in Snowflake

주제 2 Implement and manage data governance in Snowflake
Data Sharing, Data Exchange, and Snowflake Marketplace

주제 3 Given a scenario, manage databases, tables, and views
Manage organizations and access control

주제 4 Given a scenario, configure access controls
Set up and manage security administration and authorization

주제 5 Set up and manage network and private connectivity
Given a scenario, manage Snowflake Time Travel and Fail-safe

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최신 SnowPro Advanced: Administrator ADA-C01 무료샘플문제 (Q62-Q67):
질문 # 62
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Select TWO).

A. Dropping a column from a table
B. Unpublishing the data listing
C. Renaming a table
D. Adding region availability to the listing
E. Deleting data from a table
정답:A,C

설명:
Explanation
According to the Snowflake documentation1, breaking changes are changes that affect the schema or structure of the shared data, such as dropping or renaming a column or a table. These changes may cause errors or unexpected results for the consumers who query the shared data. Deleting data from a table, unpublishing the data listing, or adding region availability to the listing are not breaking changes, as they do not alter the schema or structure of the shared data.
1: Managing Data Listings in Snowflake Data Marketplace | Snowflake Documentation

질문 # 63
A Snowflake Administrator wants to create a virtual warehouse that supports several dashboards, issuing various queries on the same database.
For this warehouse, why should the Administrator consider setting AUTO_SUSPEND to 0 or NULL?

A. To keep the query result cache warm for good performance on repeated queries
B. To keep the data cache warm to support good performance of similar queries
C. To save costs by running the warehouse as little as possible
D. To save costs on warehouse shutdowns and startups for different queries
정답:B

설명:
According to the Snowflake documentation1, the AUTO_SUSPEND property specifies the number of seconds of inactivity after which a warehouse is automatically suspended. If the property is set to 0 or NULL, the warehouse never suspends automatically. For a warehouse that supports several dashboards, issuing various queries on the same database, setting AUTO_SUSPEND to 0 or NULL can help to keep the data cache warm, which means that the data used by the queries is already loaded into the warehouse memory and does not need to be fetched from the storage layer. This can improve the performance of similar queries that access the same data. Option A is incorrect because setting AUTO_SUSPEND to 0 or NULL does not save costs on warehouse shutdowns and startups, but rather increases the costs by keeping the warehouse running continuously. Option B is incorrect because setting AUTO_SUSPEND to 0 or NULL does not run the warehouse as little as possible, but rather runs the warehouse as much as possible. Option D is incorrect because setting AUTO_SUSPEND to 0 or NULL does not affect the query result cache, which is a separate cache that stores the results of previous queries for a period of time. The query result cache is not dependent on the warehouse state, but on the query criteria2.

질문 # 64
DatabaseA has a single schema called Schema1. This schema contains many tables and views. The ANALYST role has privileges to select from all objects in Database A. Schema1.
The SYSADMIN role clones DatabaseA to DatabaseA_clone.
What privileges does the ANALYST role have on tables and views in DatabaseA_clone? (Select TWO).

A. SELECT on all tables, and only non-secure views in DatabaseA_clone. Schemal
B. SELECT on all tables and views in DatabaseA_clone. Schema1
C. USAGE on the database DatabaseA_clone. Schemal
D. USAGE on the schema DatabaseA clone
E. SELECT on all tables, and only secure views in DatabaseA_clone. Schemal
정답:A,B

설명:
According to the Snowflake documentation, when a database or schema is cloned, the clone inherits all granted privileges on the clones of all child objects contained in the source object, such as tables and views. However, the clone of the container itself does not inherit the privileges granted on the source container. Therefore, the ANALYST role will have SELECT privilege on all tables and views in DatabaseA_clone.Schema1, but not USAGE privilege on the database or schema. The type of view (secure or non-secure) does not affect the cloning of privileges.

질문 # 65
In general, the monthly billing for database replication is proportional to which variables? (Select TWO).

A. The amount of table data in the primary database that changes as a result of data loading or DML operations
B. The number of times data moves across regions and/or cloud service providers between the primary and secondary database accounts
C. The frequency of changes to the primary database as a result of data loading or DML operations
D. The frequency of the secondary database refreshes from the primary database
E. The number and size of warehouses defined in the primary account
정답:A,C

설명:
Snowflake charges for database replication based on two categories: data transfer and compute resources1. Data transfer costs depend on the amount of data that is transferred from the primary database to the secondary database across regions and/or cloud service providers2. Compute resource costs depend on the use of Snowflake-provided compute resources to copy data between accounts across regions1. Both data transfer and compute resource costs are proportional to the frequency and amount of changes to the primary database as a result of data loading or DML operations3.
Therefore, the answer is A and B. The other options are not directly related to the replication billing, as the frequency of secondary database refreshes does not affect the amount of data transferred or copied4, and the number and size of warehouses defined in the primary account do not affect the replication process5.

질문 # 66
A Snowflake customer is experiencing higher costs than anticipated while migrating their data warehouse workloads from on-premises to Snowflake. The migration workloads have been deployed on a single warehouse and are characterized by a large number of small INSERTs rather than bulk loading of large extracts. That single warehouse has been configured as a single cluster, 2XL because there are many parallel INSERTs that are scheduled during nightly loads.
How can the Administrator reduce the costs, while minimizing the overall load times, for migrating data warehouse history?

A. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.
B. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.
C. There should be another 2XL warehouse deployed to handle a portion of the load queries.
D. The 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.
정답:A

설명:
According to the Snowflake Warehouse Cost Optimization blog post, one of the strategies to reduce the cost of running a warehouse is to use a multi-cluster warehouse with auto-scaling enabled. This allows the warehouse to automatically adjust the number of clusters based on the concurrency demand and the queue size. A multi-cluster warehouse can also be configured with a minimum and maximum number of clusters, as well as a scaling policy to control the scaling behavior. This way, the warehouse can handle the parallel load queries efficiently without wasting resources or credits. The blog post also suggests using a smaller warehouse size, such as SMALL or XSMALL, for loading data, as it can perform better than a larger warehouse size for small INSERTs. Therefore, the best option to reduce the costs while minimizing the overall load times for migrating data warehouse history is to keep the warehouse as a SMALL or XSMALL and configure it as a multi-cluster warehouse to handle the parallel load queries. The other options are incorrect because:
* A. Deploying another 2XL warehouse to handle a portion of the load queries will not reduce the costs, but increase them. It will also introduce complexity and potential inconsistency in managing the data loading process across multiple warehouses.
* B. Changing the 2XL warehouse to 4XL will not reduce the costs, but increase them. It will also provide more compute resources than needed for small INSERTs, which are not CPU-intensive but I/O-intensive.
* D. Converting the INSERTs to several tables will not reduce the costs, but increase them. It will also create unnecessary data duplication and fragmentation, which will affect the query performance and data quality.

질문 # 67
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