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100% Pass Snowflake - ADA-C02–Reliable Reliable Test Sample

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q61-Q66):

NEW QUESTION # 61
An Administrator receives data from a Snowflake partner. The partner is sharing a dataset that contains multiple secure views. The Administrator would like to configure the data so that only certain roles can see certain secure views.
How can this be accomplished?

A. Clone the data and insert it into a company-owned share and apply the desired RBAC on the new tables.
B. Create views over the incoming shared database and apply the desired RBAC onto these views.
C. Apply RBAC directly onto the partner's shared secure views.
D. Individually grant imported privileges onto the schema in the share.

Answer: B

Explanation:
Permissions cannot be applied directly to objects in a shared database. To enforce role-based access, the Administrator must create views over the shared secure views in a local database and then apply RBAC privileges to those new views. This allows controlling which roles can see which data.

NEW QUESTION # 62
What information is required from the Identity Provider (IdP) to enable federated authentication in Snowflake? (Choose two.)

A. SAML response format
B. URL endpoint for SAML requests
C. Authentication certificate
D. IdP encryption key
E. IdP account details

Answer: B,C

Explanation:
Federated authentication in Snowflake using SAML requires the Identity Provider's SAML endpoint URL so Snowflake can send authentication requests to the IdP during the login process.
Snowflake also requires the IdP's signing certificate to validate the authenticity and integrity of the SAML assertions returned by the Identity Provider during authentication.

NEW QUESTION # 63
An Administrator needs to configure a virtual warehouse in Snowflake for a new use case with these details:
1. There will be 50-100 concurrent users running reports
2. Minimize costs based on the number of active users at a given time
3. The virtual warehouse should suspend and resume automatically based on user activity
Which configuration will meet these requirements?

A. create or replace warehouse reporting_wh
warehouse_size = medium
auto_suspend = 600
auto_resume = true;
B. create or replace warehouse reporting_wh
warehouse_size = medium
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = true;
C. create or replace warehouse reporting_wh
warehouse_size = xxxlarge
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = false;
D. create or replace warehouse reporting_wh
warehouse_size = xxxlarge
auto_suspend = 60
auto_resume = true;

Answer: B

Explanation:
Supporting 50-100 concurrent users requires a multi-cluster warehouse so compute resources can scale to handle high concurrency. Setting a maximum cluster count allows Snowflake to automatically add clusters when query demand increases and reduce them when demand drops, which helps minimize cost based on active users. Enabling auto_suspend and auto_resume ensures the warehouse automatically stops when idle and restarts when queries arrive, further optimizing cost and operational efficiency.

NEW QUESTION # 64
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 table is not big enough to take advantage of the clustering key.
B. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
C. The STORE_ID should be numeric.
D. Sales across stores are not uniformly distributed.

Answer: D

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 # 65
What is a characteristic of Snowflake's transaction locking and concurrency modeling?

A. If two queries are concurrently executed against the same table, one of the two queries will be blocked until the other query completes.
B. Transaction locking in Snowflake is enforced exclusively at the row and table levels.
C. Queries executed within a given transaction see that transaction's uncommitted changes.
D. A deadlock cannot occur in Snowflake, since concurrently executed queries and DML statements do not block one another.

Answer: D

Explanation:
Snowflake uses multi-version concurrency control (MVCC), which allows queries and DML statements to operate without blocking each other. This architecture eliminates the possibility of deadlocks because transactions work on snapshots of data rather than locking rows or tables in ways that could cause contention.

NEW QUESTION # 66
......

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Sean Walsh Sean Walsh

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