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  • Exam Number/Code : Associate-Developer-Apache-Spark-3.5
  • Exam Name : Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • Questions and Answers : 260 Q&As
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NEW QUESTION: 1
A client with a functional capacity of 7 MET, an ejection fraction of 37%, and an ST - segment depression of 1 mm below baseline on exertion
A. Is considered to be at high risk.
B. Is considered to be at moderate risk.
C. Should not exercise until his or her ejection fraction is >50%.
D. Is considered to be at low risk.
Answer: B

NEW QUESTION: 2
技術者が200フィート(61m)ケーブルを使用して新しいPoE対応のワイヤレスアクセスポイントを設置しましたが、イーサネットケーブルに接続してもアクセスポイントの電源が入りません。技術者は、イーサネットケーブルが動作しているスイッチポートに接続されていることを確認します。この問題を解決するために、技術者は次のうちどれを行う必要がありますか?
A. イーサネットケーブルをCat 3に交換します。
B. スイッチポートを自動ネゴシエーションに設定します。
C. パワーインジェクタを取り付けます。
D. APをスイッチの近くに再配置します。
Answer: B

NEW QUESTION: 3
注:この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このシナリオで質問に答えた後、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Cosmos DBデータベースにSalesという名前のコンテナーがあります。 Salesには120 GBのデータがあります。 Salesの各エントリには、次の構造があります。

パーティションキーはOrderId属性に設定されます。
ユーザーは、ProductNameでデータを取得するクエリを実行すると、クエリの完了に予想よりも長い時間がかかると報告しています。
問題のあるクエリの実行にかかる時間を短縮する必要があります。
解決策:ProductNameをパーティションキーとして使用し、OrderIdを値として使用するルックアップコレクションを作成します。
これは目標を達成していますか?
A. はい
B. いいえ
Answer: A
Explanation:
Explanation
One option is to have a lookup collection "ProductName" for the mapping of "ProductName" to "OrderId".
References:
https://azure.microsoft.com/sv-se/blog/azure-cosmos-db-partitioning-design-patterns-part-1/

 

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