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NEW QUESTION: 1
A company wants to improve user satisfaction for its smart home system by adding more features to its recommendation engine. Each sensor asynchronously pushes its nested JSON data into Amazon Kinesis Data Streams using the Kinesis Producer Library (KPL) in Java. Statistics from a set of failed sensors showed that, when a sensor is malfunctioning, its recorded data is not always sent to the cloud.
The company needs a solution that offers near-real-time analytics on the data from the most updated sensors.
Which solution enables the company to meet these requirements?
A. Update the sensors code to use the PutRecord/PutRecords call from the Kinesis Data Streams API with the AWS SDK for Java. Use AWS Glue to fetch and process data from the stream using the Kinesis Client Library (KCL). Instantiate an Amazon Elasticsearch Service cluster and use AWS Lambda to directly push data into it.
B. Update the sensors code to use the PutRecord/PutRecords call from the Kinesis Data Streams API with the AWS SDK for Java. Use Kinesis Data Analytics to enrich the data based on a company-developed anomaly detection SQL script. Direct the output of KDA application to a Kinesis Data Firehose delivery stream, enable the data transformation feature to flatten the JSON file, and set the Kinesis Data Firehose destination to an Amazon Elasticsearch Service cluster.
C. Set the RecordMaxBufferedTime property of the KPL to "-1" to disable the buffering on the sensor side.
Use Kinesis Data Analytics to enrich the data based on a company-developed anomaly detection SQL script. Push the enriched data to a fleet of Kinesis data streams and enable the data transformation feature to flatten the JSON file. Instantiate a dense storage Amazon Redshift cluster and use it as the destination for the Kinesis Data Firehose delivery stream.
D. Set the RecordMaxBufferedTime property of the KPL to "0" to disable the buffering on the sensor side.
Connect for each stream a dedicated Kinesis Data Firehose delivery stream and enable the data transformation feature to flatten the JSON file before sending it to an Amazon S3 bucket. Load the S3 data into an Amazon Redshift cluster.
Answer: C
NEW QUESTION: 2
What are the usual and customary costs that a company incurs to support its main business called?
A. Total expenses
B. Current liabilities
C. Operating expenses
D. Current debt
Answer: C
NEW QUESTION: 3
How often are regularly scheduled update for the Anti-virus Application, Threats, and Wildfire subscription databases made available by Palo Alto Networks in PAN-OS 8.0?
A. Anti-Virus (Daily) Application (Weekly), Threats (Weekly), Wildfire (5 Minutes)
B. Anti-Virus (Weekly) Application (Daily), Threats (Weekly), Wildfire (5 Minutes)
C. Anti-Virus (Weekly) Application (Daily), Threats (Daily), Wildfire (5 Minutes)
D. Anti-Virus (Daily) Application (Weekly), Threats (Daily), Wildfire (5 Minutes)
Answer: A
NEW QUESTION: 4
SPANで送信元ポートのモニタリングに関する2つのステートメントが本当ですか？ （2つ選択）
A. 入力トラフィックと出力トラフィックを監視できます
B. これは、FaStEthernetおよびGigabitEthernetポートタイプのみを監視できます。
C. ポートチャネル内の個々のインターフェイスを監視できます
D. EtherChannel全体を監視する必要があります。
E. 宛先ポートを通過するトラフィックは、コピーしてSPANセッションに含めることができます。
Answer: A,E