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NEW QUESTION: 1
A project's budget at completion (BAG) is USS100\000. its earned value (EV) is US$20\000. and its actual cost (AC) is US$10,000. The planned value (PV) is USS20.000. What efficiency must be maintained to achieve the current estimate at completion (EAQ?
A. Behind schedule and under budget
B. Ahead of schedule and over budget
C. Behind schedule and maintaining budget
D. On schedule and maintaining budget
Answer: D

NEW QUESTION: 2
Welche der folgenden Kundentransaktionen mit einem Wertpapierhändler weist auf den höchsten Verdacht auf Geldwäsche hin?
A. Anlage in Wertpapieren mit einem deutlich geringeren Risiko als der vom Kunden zum Ausdruck gebrachten Risikotoleranz.
B. Eine ungeklärte hohe Kontoaktivität mit sehr geringen Wertpapiergeschäften
C. Wiederkehrende Geldtransfers auf ein Maklerkonto, das anschließend in kurzfristige Wertpapiere investiert wird.
D. Häufig werden den ganzen Tag über regelmäßig mit nicht börsennotierten Wertpapieren gehandelt.
Answer: B

NEW QUESTION: 3
Given the record streams MJTelco is interested in ingesting per day, they are concerned about the cost of Google BigQuery increasing. MJTelco asks you to provide a design solution. They require a single large data table called tracking_table. Additionally, they want to minimize the cost of daily queries while performing fine-grained analysis of each day's events. They also want to use streaming ingestion. What should you do?
A. Create a table called tracking_table with a TIMESTAMP column to represent the day.
B. Create a partitioned table called tracking_table and include a TIMESTAMP column.
C. Create a table called tracking_table and include a DATE column.
D. Create sharded tables for each day following the pattern tracking_table_YYYYMMDD.
Answer: B

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
Start of Repeated Scenario:
You have an initial data that contains the crime data from major cities.
You plan to build training models from the training data. You plan to automate the process of adding more data to the training models and to training the models by using the additional data, including data that is collected in near real time. The system will be used to analyze event data gathered from many different sources. Such as Internet of things (IoT) devices, Live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and ptace.
You have an incoming data stream from Twitter and an incoming data stream from
Facebook. which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post or how many times a tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure
HDInsight cluster types tor the various tasks associated to the processing pipeline.
End of repeated Scenario.
You are designing the real-time portion of the input stream processing. The input will be a continuous stream of data and each record will be processed one at a time. The data will come from an Apache Kafka producer.
You need to identify which HDInsight cluster to use for the final processing of the input data. This will be used to generate continuous statistics and real-time analytics. The latency to process each record must be less than one millisecond and tasks must be performed in parallel.
Which type of cluster should you identify?
A. Apache Storm
B. Apache Hadoop
C. Apache Spark
D. Apache HBase
Answer: C