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NEW QUESTION: 1
Overview
General Overview
ADatum Corporation has offices in Miami and Montreal.
The network contains a single Active Directory forest named adatum.com. The offices connect to each other by using a WAN link that has 5-ms latency. A Datum standardizes its database platform by using SQL Server 2014 Enterprise edition.
Databases
Each office contains databases named Sales, Inventory, Customers, Products, Personnel, and Dev.
Servers and databases are managed by a team of database administrators. Currently, all of the database administrators have the same level of permissions on all of the servers and all of the databases.
The Customers database contains two tables named Customers and Classifications.
The following graphic shows the relevant portions of the tables:

The following table shows the current data in the Classifications table:

The Inventory database is updated frequently.
The database is often used for reporting.
A full backup of the database currently takes three hours to complete.
Stored Procedures
A stored procedure named USP_1 generates millions of rows of data for multiple reports. USP_1 combines data from five different tables from the Sales and Customers databases in a table named Table1.
After Table1 is created, the reporting process reads data from Table1 sequentially several times. After the process is complete, Table1 is deleted.
A stored procedure named USP_2 is used to generate a product list. The product list contains the names of products grouped by category.
USP_2 takes several minutes to run due to locks on the tables the procedure accesses. The locks are caused by USP_1 and USP_3.
A stored procedure named USP_3 is used to update prices. USP_3 is composed of several UPDATE statements called in sequence from within a transaction.
Currently, if one of the UPDATE statements fails, the stored procedure fails. A stored procedure named USP_4 calls stored procedures in the Sales, Customers, and Inventory databases.
The nested stored procedures read tables from the Sales, Customers, and Inventory databases. USP_4 uses an EXECUTE AS clause.
All nested stored procedures handle errors by using structured exception handling. A stored procedure named USP_5 calls several stored procedures in the same database. Security checks are performed each time USP_5 calls a stored procedure.
You suspect that the security checks are slowing down the performance of USP_5. All stored procedures accessed by user applications call nested stored procedures.
The nested stored procedures are never called directly.
Design Requirements
Data Recovery
You must be able to recover data from the Inventory database if a storage failure occurs. You have a Recovery Time Objective (RTO) of 5 minutes.
You must be able to recover data from the Dev database if data is lost accidentally. You have a Recovery Point Objective (RPO) of one day.
Classification Changes
You plan to change the way customers are classified. The new classifications will have four levels based on the number of orders. Classifications may be removed or added in the future. Management requests that historical data be maintained for the previous classifications. Security A group of junior database administrators must be able to manage security for the Sales database. The junior database administrators will not have any other administrative rights. A Datum wants to track which users run each stored procedure.
Storage
ADatum has limited storage. Whenever possible, all storage space should be minimized for all databases and all backups.
Error Handling
There is currently no error handling code in any stored procedure.
You plan to log errors in called stored procedures and nested stored procedures. Nested stored procedures are never called directly.
You need to recommend a change to USP_3 to ensure that the procedure completes only if all of the UPDATE statements complete. Which change should you recommend?
A. Set the XACT_ABORT option to on.
B. Set the IMPLICIT_TRANSACTIONS option to off.
C. Set the XACT_ABORT option to off
D. Set the IMPLICIT_TRANSACTIONS option to on.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Scenario:
A stored procedure named USP_3 is used to update prices. USP_3 is composed of several UPDATE statements called in sequence from within a transaction.
Currently, if one of the UPDATE statements fails, the stored procedure continues to execute.
- When SET XACT_ABORT is ON, if a Transact-SQL statement raises a run-time error, the entire transaction is terminated and rolled back.

NEW QUESTION: 2
How does Aruba ClearPass help to enable an HPE Intelligent Workspace solution?
A. It provides a repository of built-in apps, such as dynamic space scheduling.
B. It provides a developer kit for creating location-based service applications.
C. It provides identity management for users and policy-based control over IoT devices.
D. It provides the engine for integrating location-based services and automating workflows.
Answer: C

NEW QUESTION: 3
あなたの会社は、24時間で1億件以上の注文が可能なオンライン小売業者であり、その95％は16:30から17:00の間に行われます。 すべての注文は米ドルです。 現在の製品ラインには、次の3つのアイテムカテゴリが含まれています。
* 15,123アイテムのゲーム
* 35,312アイテムの本
* 6,234アイテムのペン
Orders Collectionという名前のコレクション用にAzure Cosmos DBデータソリューションを設計しています。 次のドキュメントは、Orders Collectionの典型的な注文です。

Order Collectionには、読み取り/書き込みを集中的に行うワークロードのバランスが必要です。
どのパーティションキーが最も効率的なスループットを提供しますか？
A. Item/id
B. Item/Currency
C. OrderTime
D. Item/Category
Answer: D
Explanation:
Choose a partition key that has a wide range of values and access patterns that are evenly spread across logical partitions. This helps spread the data and the activity in your container across the set of logical partitions, so that resources for data storage and throughput can be distributed across the logical partitions.
Choose a partition key that spreads the workload evenly across all partitions and evenly over time. Your choice of partition key should balance the need for efficient partition queries and transactions against the goal of distributing items across multiple partitions to achieve scalability.
Candidates for partition keys might include properties that appear frequently as a filter in your queries. Queries can be efficiently routed by including the partition key in the filter predicate.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/partitioning-overview#choose-partitionkey