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NEW QUESTION: 1
Which two statements about symmetric encryption are true? (Choose two.) (SourcE. Understanding Cryptographic Fundamentals)
A. Symmetric encryption is a good choice for real-time encryption of bulk data.
B. Symmetric encryption is commonly used to sign asymmetric keys.
C. With symmetric encryption, the encryption key equals the decryption key.
D. Symmetric encryption uses asymmetric keys.
Answer: A,C
Explanation:
xplanation:
There are two basic techniques for encrypting information: symmetric encryption (also called secret key encryption) and asymmetric encryption (also called public key encryption.) in symmetric key As long as both sender and recipient know the secret key, they can encrypt and decrypt all messages that use this key. A public key is made freely available to anyone who might want to send you a message. A second, private key is kept secret, so that only you know it.
Link: http://support.microsoft.com/kb/246071

NEW QUESTION: 2
You develop data engineering solutions for a company.
A project requires analysis of real-time Twitter feeds. Posts that contain specific keywords must be stored and processed on Microsoft Azure and then displayed by using Microsoft Power BI. You need to implement the solution.
Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation:
Step 1: Create an HDInisght cluster with the Spark cluster type
Step 2: Create a Jyputer Notebook
Step 3: Create a table
The Jupyter Notebook that you created in the previous step includes code to create an hvac table.
Step 4: Run a job that uses the Spark Streaming API to ingest data from Twitter
Step 5: Load the hvac table into Power BI Desktop
You use Power BI to create visualizations, reports, and dashboards from the Spark cluster data.
References:
https://acadgild.com/blog/streaming-twitter-data-using-spark
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-use-with-data-lake-store

NEW QUESTION: 3
A customer is planning to implement new hardware including System x blades, POWER System blades and System z. The customer is concerned about the complexity in monitoring and metering the hardware environment. They are interested in a holistic solution that provides functionality like firmware management, guest monitoring, network configuration, workload management and storage allocation. Which of the following IBM products would cover all these requirements?
A. Tivoli System Automation
B. Unified Resource Manager
C. IBM Systems Director
D. Tivoli Service Automation Manager (TSAM)
Answer: B

NEW QUESTION: 4
大規模なぬいぐるみ動物メーカーは急速に成長しており、絶えず彼らの製品ラインに新しい動物を加えています。 COOは、それぞれの新しい動物に対する顧客の反応を知りたいと考えており、顧客が製品を楽しんでいることを確認し、この情報を将来の製品アイデアに使用したいと考えています。ソーシャルメディアマネージャは、フィードバックを受け取ることを任務としています。データが取り込まれた後、同社は費用対効果が高く実用的な方法でデータを分析および分類できるようにしたいと考えています。これどうやってやるの？ 2つ選んでください。
2正しい答えを選んでください。
A. データの処理と正規化、およびAmazon MLからの予測の要求にLambdaを使用します。データはLambdaを使用してAmazon SNSに送信され、さらに調査するためにEメールで配信されます。
B. EMRを使用して生データをAmazon S3にコピーします。長期的な分析と履歴の参照のために、生データはAmazon S3に保存されます。
C. Amazon Kinesis Streamsを作成し、1つのKinesisストリームを使用して生データをAmazon S3にコピーします。
長期的な分析と履歴の参照のために、生データはAmazon S3に保存されます。
D. データの処理と正規化、およびAmazon MLからの予測の要求にRedshiftを使用します。データはAmazon SNSに送信され、さらに調査するためにEメールで配信されます。
Answer: A,C
Explanation:
By using a combination of Amazon Kinesis Streams, Lambda, Amazon ML, and Amazon SES, we have created a scalable and easily customizable social listening platform. It is important to note that this picture does not depict the action of creating a ML model. This act would be done at least one time, but usually done on a regular basis to keep the model up to date. The frequency of creating a new model depends on the workload and is really only done to make the model more accurate when things change.
Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf