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NEW QUESTION: 1
Refer to the exhibit. Why is the OSPF state in 2WAY/DROTHER?
A. This is the expected output when the interface Ethernet0/0 of R1 is configured with OSPF Priority 0.
B. This is the expected output when R1 is the DR.
C. There is an MTU mismatch.
D. There is a duplicate router ID.
E. There is an OSPF timer (hello/dead) mismatch.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Sometimes it is desirable for a router to be configured so that it is not eligible to become the DR or BDR.
You can do this by setting the OSPF priority to zero with the ip ospf priority priority# interface subcommand. If two OSPF neighbors both have their OSPF interface priority set to zero, they establish two-way adjacency instead of full adjacency.
Reference: http://www.cisco.com/c/en/us/support/docs/ip/open-shortest-path-first-ospf/13683-11.html
NEW QUESTION: 2
A. Option A
B. Option E
C. Option D
D. Option B
E. Option C
Answer: B,C,E
Explanation:
C: The acfsutil audit init command must be run by the system administrator before enabling auditing for any of the audit sources on a file system.
D: Only an audit manager can run the acfsutil audit purge command.
E: acfsutil audit read marks the audit trail to indicate to the audit manager that the log archive file for the current node has been reviewed, backed up as necessary, and is safe to purge.
NEW QUESTION: 3
小売企業は、完全にOracle Cloud Infrastructure（OCI）でオンラインショッピングプラットフォームを実行しています。これは、Mbpsロードバランサを含む3層Webアプリケーションです。 WebおよびOracle DBシステム仮想マシン用の仮想マシンインスタンスかつてないほどの成長により、彼らはWebサイトへの受信トラフィックの増加に気付き、すべてのユーザーが503（サービス利用不可）エラーを受け取り始めました。
このシナリオの潜在的な問題は何ですか？
A. ロードバランサーのヘルスチェックステータスは、バックエンドWebサーバーの半分の重大な状況を示します
B. トラフィック管理ポリシーは、トラフィックをWebサーバーにロードするように設定されていません。
C. すべてのWebサーバーがビジーで、ユーザーからの要求に応答できません。
D. Webサーバーと負荷分散の間の接続を許可するようにサービスゲートウェイを構成しませんでした
E. データベースがダウンしているため、ユーザーはWebサイトにアクセスできません
Answer: C
Explanation:
503 Service Unavailable Errorは、サーバーが一時的に要求を処理できないことを示すHTTP応答ステータスコードです。サーバーが過負荷になっているか、メンテナンスのためにダウンしていることが原因である可能性があります。
NEW QUESTION: 4
You are designing a data processing solution that will run as a Spark job on an HDInsight cluster. The solution will be used to provide near real-time information about online ordering for a retailer.
The solution must include a page on the company intranet that displays summary information.
The summary information page must meet the following requirements:
* Display a summary of sales to date grouped by product categories, price range, and review scope.
* Display sales summary information including total sales, sales as compared to one day ago and sales as compared to one year ago.
* Reflect information for new orders as quickly as possible.
You need to recommend a design for the solution.
What should you recommend? To answer, select the appropriate configuration in the answer area.
Answer:
Explanation:
Explanation:
Box 1: DataFrame
DataFrames
Best choice in most situations.
Provides query optimization through Catalyst.
Whole-stage code generation.
Direct memory access.
Low garbage collection (GC) overhead.
Not as developer-friendly as DataSets, as there are no compile-time checks or domain object programming.
Box 2: parquet
The best format for performance is parquet with snappy compression, which is the default in Spark 2.x. Parquet stores data in columnar format, and is highly optimized in Spark.
Incorrect Answers:
DataSets
Good in complex ETL pipelines where the performance impact is acceptable.
Not good in aggregations where the performance impact can be considerable.
RDDs
You do not need to use RDDs, unless you need to build a new custom RDD.
No query optimization through Catalyst.
No whole-stage code generation.
High GC overhead.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-perf
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