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NEW QUESTION: 1
A Machine Learning Specialist is working with a large cybersecurity company that manages security events in real time for companies around the world. The cybersecurity company wants to design a solution that will allow it to use machine learning to score malicious events as anomalies on the data as it is being ingested. The company also wants be able to save the results in its data lake for later processing and analysis.
What is the MOST efficient way to accomplish these tasks?
A. Ingest the data and store it in Amazon S3. Use AWS Batch along with the AWS Deep Learning AMIs to train a k-means model using TensorFlow on the data in Amazon S3.
B. Ingest the data into Apache Spark Streaming using Amazon EMR, and use Spark MLlib with k- means to perform anomaly detection. Then store the results in an Apache Hadoop Distributed File System (HDFS) using Amazon EMR with a replication factor of three as the data lake.
C. Ingest the data and store it in Amazon S3. Have an AWS Glue job that is triggered on demand transform the new data. Then use the built-in Random Cut Forest (RCF) model within Amazon SageMaker to detect anomalies in the data.
D. Ingest the data using Amazon Kinesis Data Firehose, and use Amazon Kinesis Data Analytics Random Cut Forest (RCF) for anomaly detection. Then use Kinesis Data Firehose to stream the results to Amazon S3.
Answer: D
Explanation:
https://aws.amazon.com/tw/blogs/machine-learning/use-the-built-in-amazon-sagemaker-random- cut-forest-algorithm-for-anomaly-detection/
NEW QUESTION: 2
Refer to the exhibit. The wireless engineer has deployed the Cisco 5508 Wireless Controller.
The controller is responding on the service port; however, it will not respond on the management interface.
Which configuration revision will fix the management interface?
A. On the switch interface, configure switch(config-if)#switchport trunk allowed vlan 10.
B. On the switch interface, configure no spanning-tree portfast trunk.
C. On WLC Controller > General, disable LAG and reboot.
D. On the WLC management interface, disable LAG on the management network.
E. On the WLC management interface, change the VLAN ID to 20.
F. On the switch interface, configure switch(config-if)#switchport trunk allowed vlan add 10.
Answer: F
NEW QUESTION: 3
以下のユースケースをサポートするための病院向けソリューションを開発しています。
* 異なる場所にいる複数のユーザーが患者記録を更新した場合でも、最新の患者ステータスの詳細を取得する必要があります。
* 取得された患者健康監視データは現在のバージョンまたは以前のバージョンでなければなりません。
* 患者が退院し、すべての請求が査定された後、患者請求記録には最終請求が含まれます。
Cosmos DB NoSQLデータベースをプロビジョニングし、データベースアカウントのデフォルトの整合性レベルを[強]に設定します。 [インデックス作成モード]の値を[整合性]に設定します。
待ち時間と、ソリューションの可用性への影響を最小限に抑える必要があります。シナリオに必要な一貫性保証を満たすには、クエリレベルでデフォルトの一貫性レベルを上書きする必要があります。
どの一貫性レベルを実装する必要がありますか?答えるには、適切な一貫性レベルを正しい要件にドラッグします。各一貫性レベルは、1回、複数回、またはまったく使用しないことができます。コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。
注:それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: Strong
Strong: Strong consistency offers a linearizability guarantee. The reads are guaranteed to return the most recent committed version of an item. A client never sees an uncommitted or partial write. Users are always guaranteed to read the latest committed write.
Box 2: Bounded staleness
Bounded staleness: The reads are guaranteed to honor the consistent-prefix guarantee. The reads might lag behind writes by at most "K" versions (that is "updates") of an item or by "t" time interval. When you choose bounded staleness, the "staleness" can be configured in two ways:
The number of versions (K) of the item
The time interval (t) by which the reads might lag behind the writes
Box 3: Eventual
Eventual: There's no ordering guarantee for reads. In the absence of any further writes, the replicas eventually converge.
Incorrect Answers:
Consistent prefix: Updates that are returned contain some prefix of all the updates, with no gaps. Consistent prefix guarantees that reads never see out-of-order writes.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
NEW QUESTION: 4
Which different types of network communication protocols does Hadoop use?
A. Hadoop UDP, Direct TCP/IP, and HTTP
B. Hadoop UDP, Direct TCP/IP, and HTTPS
C. Hadoop TCP, Direct TCP/IP, and RPC
D. Hadoop RPC, Direct TCP/IP, and HTTP
Answer: B
