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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in 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 a correct solution.
After you answer a question in this section. You will NOT be able to return to it. As a result, these questions will not appear in the review screen.
A database has two tables as shown in the following database diagram:
You need to list all provinces that have at least two large cities. A large city is defined as having a population of at least one million residents. The query must return the following columns:
Solution: You run the following Transact-SQL statement:
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
The requirement to list all provinces that have at least two large cities is meet by the WHERE CitySummary.LargeCityCount >=2 clause.
CROSS APPLY will work fine here.
Note:
The APPLY operator allows you to invoke a table-valued function for each row returned by an outer table expression of a query. The table-valued function acts as the right input and the outer table expression acts as the left input. The right input is evaluated for each row from the left input and the rows produced are combined for the final output. The list of columns produced by the APPLY operator is the set of columns in the left input followed by the list of columns returned by the right input.
There are two forms of APPLY: CROSS APPLY and OUTER APPLY. CROSS APPLY
returns only rows from the outer table that produce a result set from the table-valued function. OUTER APPLY returns both rows that produce a result set, and rows that do not, with NULL values in the columns produced by the table-valued function.
References: https://technet.microsoft.com/en-us/library/ms175156(v=sql.105).aspx
NEW QUESTION: 2
You need a distributed, scalable, data Store that allows you random, realtime read/write access to hundreds of terabytes of data. Which of the following would you use?
A. Pig
B. Oozie
C. Hive
D. HBase
E. Flume
F. Hue
G. Sqoop
Answer: D
Explanation:
Use Apache HBase when you need random, realtime read/write access to your Big Data.
Note:This project's goal is the hosting of very large tables -- billions of rows X millions of columns
-atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned,
column-oriented store modeled after Google's Bigtable: A Distributed Storage System for
Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided
by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop
and HDFS.
Features
Linear and modular scalability.
Strictly consistent reads and writes.
Automatic and configurable sharding of tables
Automatic failover support between RegionServers.
Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables.
Easy to use Java API for client access.
Block cache and Bloom Filters for real-time queries.
Query predicate push down via server side Filters
Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data
encoding options
Extensible jruby-based (JIRB) shell
Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX
Reference:http://hbase.apache.org/(when would I use HBase? First sentence)
NEW QUESTION: 3
Scenario: After a recent security assessment, a Citrix Architect recommends blocking unnecessary peripheral types by disabling the associated HDX channels. Currently, the environment is intended to support the peripheral types listed in the Exhibit.
Click the Exhibit button to view the supported peripheral types.
Which four HDX virtual channels should the architect disable, based on the peripherals required in the environment? (Choose four.)
A. Print
B. TwainRdr
C. Multimedia
D. SmartCard
E. GenericUSB
F. ClientAudio
G. TWI
Answer: A,D,E,F
NEW QUESTION: 4
ある会社がAWSへの移行を計画しています。ソリューションアーキテクトはフリート上でAWS Application Discovery Serviceを使用し、OracleデータウェアハウスといくつかのPostgreSQLデータベースがあることを発見しました。
移行パターンのどの組み合わせにより、ライセンスコストと運用オーバーヘッドが削減されますか？ （2つ選択してください。）
A. AWS DMSを使用して、OracleデータウェアハウスをAmazon EMRマネージドクラスターに移行します。
B. AWS DMSを使用して、PostgreSQLデータベースをAmazon RDS for PostgreSQLに移行します。
C. AWS DMSを使用して、Oracleデータウェアハウスを持ち上げてAmazon EC2に移行します。
D. AWS DMSを使用して、PostgreSQLデータベースをリフトしてAmazon EC2にシフトします。
E. AWS SCTとAWS DMSを使用してOracleデータウェアハウスをAmazon Redshiftに移行します
Answer: A,B