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NEW QUESTION: 1
802.1Xが実装されている場合、クライアント（サプリカント）と認証システムはどのように通信しますか？
A. MAB
B. TACACS +
C. EAPOL
D. RADIUS
Answer: C
NEW QUESTION: 2
A VNX storage system is being configured to provide storage for an Exchange 2010 implementation for 2,000 users. iSCSI will be used for connectivity between the servers and the array. Each server has two, dual-ported NICs.
Based on EMC best practices for availability and redundancy, how should the interconnectivity be configured?
A. Configure each iSCSI NIC to two iSCSI ports, one on each SP.
B. Configure one NIC to SPA and the other to SPB and install EMC PowerPath to enable load balancing and failover
C. Configure both iSCSI NIC to all four of the available iSCSI ports on the array to ensure maximum throughput and fault tolerance.
D. Configure each server NIC to both ports on the SP and enable link aggregation to increase throughput.
Answer: A
NEW QUESTION: 3
A hypervisor can independently manage and monitor the virtualization of multiple virtual servers, and is therefore associated with the ____ mechanism .
A. pay-for-use monitor
B. multi-device broker
C. None of the above.
D. automated scaling listener
Answer: C
NEW QUESTION: 4
You have an Azure Synapse workspace named MyWorkspace that contains an Apache Spark database named mytestdb.
You run the following command in an Azure Synapse Analytics Spark pool in MyWorkspace.
CREATE TABLE mytestdb.myParquetTable(
EmployeeID int,
EmployeeName string,
EmployeeStartDate date)
USING Parquet
You then use Spark to insert a row into mytestdb.myParquetTable. The row contains the following dat a.
One minute later, you execute the following query from a serverless SQL pool in MyWorkspace.
SELECT EmployeeID
FROM mytestdb.dbo.myParquetTable
WHERE name = 'Alice';
What will be returned by the query?
A. an error
B. 0
C. a null value
Answer: B
Explanation:
Once a database has been created by a Spark job, you can create tables in it with Spark that use Parquet as the storage format. Table names will be converted to lower case and need to be queried using the lower case name. These tables will immediately become available for querying by any of the Azure Synapse workspace Spark pools. They can also be used from any of the Spark jobs subject to permissions.
Note: For external tables, since they are synchronized to serverless SQL pool asynchronously, there will be a delay until they appear.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/metadata/table