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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Resource Management and Optimization	25%	- Database and object management 1. Data retention and time travel 2. Schema design and object lifecycle 3. Storage management and clustering - Virtual warehouse administration 1. Workload management and resource monitoring 2. Cost optimization strategies 3. Warehouse sizing, scaling and suspension
Topic 2: Performance Monitoring and Tuning	20%	- Query performance analysis 1. Materialized views and search optimization 2. Indexing and clustering keys optimization 3. Query profiling and execution plans - System monitoring and troubleshooting 1. Account and warehouse usage metrics 2. Error logging and troubleshooting techniques 3. Workload isolation and concurrency control
Topic 3: Business Continuity and Disaster Recovery	15%	- Data protection and replication 1. Cross-region and cross-cloud replication 2. Database cloning and backup strategies 3. Time travel and fail-safe configuration - Disaster recovery planning 1. Failover and failback procedures 2. Recovery time and point objectives
Topic 4: Data Sharing and Marketplace	10%	- Snowflake Marketplace 1. Marketplace administration and governance 2. Listing and consuming data products - Secure data sharing 1. Shares, readers and data providers 2. Secure views and data consumption
Topic 5: Account and Security Administration	30%	- Access control and security 1. User and privilege management 2. Data security and masking policies 3. Role-based access control (RBAC) design 4. Authentication and network policies - Account configuration and management 1. Cost management and billing 2. Edition and feature configuration 3. Organization and account structures

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which type of listing in the Snowflake Marketplace can be added and queried immediately?

A. Standard listing
B. Personalized listing
C. Monetized listing
D. Regional listing

Answer: A

Explanation:
A standard listing in the Snowflake Marketplace can be immediately added to an account and queried without requiring provider approval or additional setup.

NEW QUESTION # 20
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 permanent table with a retention time of 0 days.
B. Create it as a transient table with a retention time of 0 days.
C. Create it as a temporary table with a retention time of 0 days.
D. Create it as an external table, which will not incur Time Travel costs.

Answer: B

Explanation:
A transient table is best suited for staging because it avoids long-term storage costs by not maintaining Fail-safe and can have Time Travel retention set to 0 days. This minimizes storage costs while still providing performance comparable to permanent tables, making it the optimal choice for daily staging data.

NEW QUESTION # 21
Which function is the role SECURITYADMIN responsible for that is not granted to role USERADMIN?

A. Create new roles
B. Create new users
C. Manage system grants
D. Reset a Snowflake user's password

Answer: C

Explanation:
The SECURITYADMIN role is responsible for managing system grants, such as granting or revoking privileges on roles, which is not permitted for the USERADMIN role.

NEW QUESTION # 22
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. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
B. Sales across stores are not uniformly distributed.
C. The STORE_ID should be numeric.
D. The table is not big enough to take advantage of the clustering key.

Answer: B

Explanation:
Clustering is effective when data distribution across the clustering key is relatively uniform. In this case, most transactions are concentrated in only 20 of the 1000 stores, leading to skewed data distribution. This imbalance causes poor pruning, since large portions of micro-partitions still need to be scanned, even for queries targeting specific stores.

NEW QUESTION # 23
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 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.
B. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.
C. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.
D. There should be another 2XL warehouse deployed to handle a portion of the load queries.

Answer: B

Explanation:
For many small, parallel INSERTS, using a multi-cluster warehouse with smaller size (SMALL or XSMALL) allows more concurrent queries to run efficiently and reduces costs compared to a single large warehouse. This configuration improves concurrency without unnecessary compute expense.

NEW QUESTION # 24
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