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NEW QUESTION: 1
中央ポイントが他のポイントをすべてアドレス指定せずに同時にアドレス指定できるのは、次のうちどれですか？
A. ブロードキャスト
B. マルチキャスト
C. ユニキャスト
D. サブネット化
Answer: B
NEW QUESTION: 2
Which of the following statements about MD5 Routing Updates authentication is valid? (Select two)
A. Shared secret keys are delivered in encrypted messages
B. Routing updates packets are delivered in encrypted messages
C. The MD5 algorithm inputs the routing updates of every 64bit length and outputs an 8-bit hash
D. Multiple keys are supported
E. The MD5 algorithm inputs the routing updates of arbitrary length and outputs a 128-bit hash
Answer: D,E
NEW QUESTION: 3
A. Option B
B. Option C
C. Option E
D. Option A
E. Option F
F. Option D
Answer: A,B,D
Explanation:
*You can specify policies for ADO at the row, segment, and tablespace level when creating and
altering tables with SQL statements.
*(Not E, Not F) When Heat Map is enabled, all accesses are tracked by the in-memory activity
tracking module. Objects in the SYSTEM and SYSAUX tablespaces are not tracked.
*To implement your ILM strategy, you can use Heat Map in Oracle Database to track data access
and modification.
Heat Map provides data access tracking at the segment-level and data modification tracking at the
segment and row level.
*To implement your ILM strategy, you can use Heat Map in Oracle Database to track data access
and modification. You can also use Automatic Data Optimization (ADO) to automate the
compression and movement of data between different tiers of storage within the database.
Reference: Automatic Data Optimization with Oracle Database 12c
with Oracle Database 12c
NEW QUESTION: 4
30秒ごとに測定値を収集するAzure IoT Edgeデバイスがあります。
Azure IoTハブに測定値を送信する予定です。
クラウドでイベントを処理する必要があります。
何を使うべきですか？
A. Azure Stream Analytics windowing functions
B. Azure Machine Learning on the IoT Edge devices
C. Apache Kafka
D. Azure Stream Analytics record functions
Answer: B
Explanation:
Azureノートブックを使用して機械学習モジュールを開発し、Azure IoT Edgeを実行しているLinuxデバイスにデプロイします。
IoT Edgeモジュールを使用して、ビジネスロジックを実装するコードをIoT Edgeデバイスに直接展開できます。
参照：
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning