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NEW QUESTION: 1
展示を参照してください。出力を生成したインターフェイスに関するどのステートメントが正しいですか？

A. 1つのセキュアMACアドレスがインターフェースで動的に学習されます。
B. 違反が発生すると、syslogメッセージが生成されます。
C. インターフェース上で1つのセキュアMACアドレスが手動で構成されます。
D. 5つのセキュアMACアドレスがインターフェースで動的に学習されます。
Answer: C

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stores sales dat
a. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the operational workload.
Solution: You remove any clustered indexes and load the table for processing.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Clustered columnstore tables offer both the highest level of data compression as well as the best overall query performance. Clustered columnstore tables will generally outperform clustered index or heap tables and are usually the best choice for large tables. For these reasons, clustered columnstore is the best place to start when you are unsure of how to index your table.
Note: Dimensional tables can be used to reduce the size of fact tables.
Dimension tables contain attribute data that might change but usually changes infrequently. For example, a customer's name and address are stored in a dimension table and updated only when the customer's profile changes. To minimize the size of a large fact table, the customer's name and address do not need to be in every row of a fact table. Instead, the fact table and the dimension table can share a customer ID. A query can join the two tables to associate a customer's profile and transactions.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables- overview

NEW QUESTION: 3
You get complaints from users of several different applications that performance has degraded over time.
These applications run in this configuration:
1. There are three different databases and database instances.
2. Two of the poorly performing applications run in the same Pluggable Database (PDB) in an Oracle 12c multitenant Container Database (CDB) with four PDBs.
3. One of the poorly performing applications runs in a different PDB in the same CDB.
4. One of the poorly performing applications runs in an Oracle 12c non-CDB, which also hosts other applications.
5. You have the Oracle Resource Manager configured for the CDB, all PDBs, and the non-CDB.
6. Each application has a separate consumer group associated with the sessions that are running that application.
A check of wait events for the sessions belonging to these applications shows that the sessions are waiting longer and that there are more sessions from other applications in the same database instance.
You wish to avoid scaling up your Database as a Service (DBaaS) instance in Oracle Cloud.
Which three should you check and possibly reconfigure to avoid the need to scale up the DBaaS instance?
A. Check the CDB plan only to configure the shares allocated to the PDB that contains the two poorly performing applications.
B. Check the shares allocated to all consumer groups in the non-CDB.
C. Check the shares allocated only to the consumer group in the non-CDB that is used by the poorly performing application.
D. Check the PDB plan for the PDB that is hosting the two poorly performing applications.
E. Check the PDB plan for all the PDBs in the CDB, including the PDB that is hosting the two poorly performing applications.
F. Check the CDB plan to configure the shares allocated to all PDBs, including the PDB that contains the two poorly performing applications.
Answer: A,C,D
Explanation:
Explanation/Reference:
References: https://docs.oracle.com/database/121/ADMIN/cdb_dbrm_em.htm

NEW QUESTION: 4
If implementing a virtual Whitewater appliance v210 or higher to support a greater then 2TB volume for cache, which version of ESXi and storage type should be used?
A. ESXi 4.x and VMDK volumes.
B. ESXi 5.x and RAW volumes.
C. ESXi 5.x and spanned VMDK volumes.
D. ESXi 4.x and spanned VMDK volumes.
E. ESXi 5.x and VMDK volumes.
Answer: B