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NEW QUESTION: 1
What is the result of initiating an oam mac-ping to an unknown unicast MAC address in a VPLS instance?
A. The oam mac-ping will fail. The MAC address must be known in the local FDB to be successful.
B. The request will be flooded and the only response will come from the PE node that has learned the specified MAC address on a local SAP.
C. The request will be flooded and the CE device with the corresponding MAC will reply.
D. All nodes will reply because the oam mac-ping is flooded.
Answer: B
Explanation:

NEW QUESTION: 2

A. Option D
B. Option F
C. Option B
D. Option E
E. Option A
F. Option C
Answer: B,C,F

NEW QUESTION: 3

A. Use sequential scans
B. Increase read capacity units during the scan operation
C. Use parallel scans while limiting the rate
D. Change consistency to eventually consistent during the scan operation
Answer: C
Explanation:
Explanation
Parallel scans would help improve the scan performance while using limit parameter the provisioned throughput consumed can be limited.
Refer AWS documentation - DynamoDB Parallel Scan
By default, the Scan operation processes data sequentially. DynamoDB returns data to the application in 1 MB increments, and an application performs additional operations to retrieve the next 1 MB of data.
The larger the table or index being scanned, the more time the will take to complete. In addition, a sequential Scan might not always be able to fully utilize the provisioned read throughput capacity: Even though DynamoDB distributes a large table s data across multiple physical partitions, a Scan operation can only read one partition at a time. For this reason, the throughput of a is constrained by the maximum throughput of a single partition.
To address these issues, the Scan operation can logically divide a table or secondary index into multiple segments, with multiple application workers scanning the segments in parallel. Each worker can be a thread (in programming languages that support multithreading) or an operating system process.
A parallel scan with a large number of workers can easily consume all of the provisioned throughput for the table or index being scanned. It is best to avoid such scans if the table or index is also incurring heavy read or write activity from other applications.
To control the amount of data returned per request, use the Limit parameter. This can help prevent situations where one worker consumes all of the provisioned throughput, at the expense of all other workers.

NEW QUESTION: 4
SAP ERPで新しい汎用データソースを定義するには、
デルタ特性としてのタイムスタンプ
安全間隔の下限の値
変更されたレコードの新しいステータス。
これは、SAP BW / 4HANAでデータターゲットをモデル化する方法にどのように影響しますか？
注：この質問には2つの正解があります。
A. データターゲットは、InfoCubeモデルテンプレートのDataStoreオブジェクト（詳細）にすることができます。
B. データターゲットは、安全間隔の特性を使用してモデル化する必要があります。
C. データターゲットは重複レコードを管理できる必要があります。
D. データターゲットは、Standard DataStore ObjectモデルテンプレートのDataStoreオブジェクト（詳細）にすることができます。
Answer: C,D