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NEW QUESTION: 1
Identify the five true statements.
A. CALC DIM is faster than AGG on Sparse dimensions
B. AGG calculates Sparse dimensions
C. CALC DIM calculates Dense dimensions
D. AGG calculates member formulas
E. AGG is faster than CALC DIM on Sparse dimensions
F. CALC DIM calculates member formulas
G. AGG calculates Dense dimensions
H. CALC DIM calculates Sparse dimensions
Answer: B,C,E,F,H
Explanation:
Explanation/Reference:
Differences bettewen CALC DIM and AGG.
CALC DIM (Product);
This line calculates the Product dimension doing both outline aggregation (such as rolling all the Colas up into the parent value) and member formulas (C), if they exist for members in that dimension. If we want to calculate multiple dimensions using this command (say, Market and Product), just separate them with commas:
CALC DIM (Market, Product);
Remember how we said that "CALC DIM" not only does aggregation but also member formulas? Well, how many member formulas are there in the Market and Product dimensions?
That's right: none, so "CALC DIM" is wasting time looking for formulas that you know aren't there. For sparse dimensions that don't have formulas, there's a command that only does aggregation and as such, is usually faster:
AGG (Market, Product) (B, F)
Note: The CALC DIM command calculates the formulas and aggregations associated with each member of all the specified dimensions. This command calculates the formulas and aggregations associated with each member of all of the specified dimensions. The order in which dimensions are calculated depends on whether they are dense (G) or sparse (E). All of the dense dimensions are calculated first, in the order that the dense dimensions appear in dimList. The sparse dimensions are then calculated in a similar order.
Incorrect answers:
H: Analytic Services cannot use the AGG command with dense dimensions.
NEW QUESTION: 2
An architect is proposing HPE Intelligent Power Discovery service for a customer's new data center.
Which component does the architect need to include in the proposal for this service?
A. HPE Multi-Output Slot Power Supply, HPE remote Monitored Power Distribution Unit, and HPE powerAdvisor
B. HPE Common Slot Platinum/Platinum PlusPower Supply, HPE Intelligent Power
Distribution Unit, and HPE Insight
C. HPE Flexible Slot Power Supply, HPE Modular Power Distribution Unit, and HPE 3D
Sea of Sensors
D. HPE Uninterruptible Power Supply, HPE Basic Power Distribution Unit, and HPE
OneView
Answer: C
NEW QUESTION: 3
どのAnsibleモジュールを使用してファイルの内容を変更できますか? (3つの正解を選択してください。)
A. lineinfile
B. 変更
C. 交換
D. パッチ
E. 挿入
Answer: A,C,D
NEW QUESTION: 4
小売企業の開発者は、不正検出ソリューションを注文処理ソリューションに統合する必要があります。不正検出ソリューションは、注文を確認するのに10分から30分かかります。ピーク時には、Webサイトは1分あたり100件の注文を受け取ることができます。
不正検出ソリューションを注文処理パイプラインに追加するための最もスケーラブルな方法は何ですか?
A. すべての新しい注文をAmazon KinesisStreamに追加します。 Lambda関数をサブスクライブして、Kinesisストリームからレコードのバッチを自動的に読み取ります。ラムダ関数には不正検出ソフトウェアが含まれており、合格または不合格のステータスで注文を更新します。
B. すべての新しい注文をAmazonSQSキューに追加します。不正検出ソリューションがインストールされた複数のAZにまたがる10個のEC2インスタンスのフリートを構成して、このキューから注文をプルします。合格または不合格のステータスで注文を更新します。
C. すべての新しい注文をAmazonDynamoDBに書き込みます。すべての新しい注文を含めるようにDynamoDBストリームを設定します。
Lambda関数をサブスクライブして、Kinesisストリームからレコードのバッチを自動的に読み取ります。ラムダ関数には不正検出ソフトウェアが含まれており、合格または不合格のステータスで注文を更新します。
D. すべての新しい注文をSQSキューに追加します。キューの深さのメトリックをスケールの単位として使用するAutoScalingグループを構成し、不正検出ソリューションがインストールされた複数のAZにまたがる動的なサイズのEC2インスタンスのフリートを起動して、このキューから注文をプルします。合格または不合格のステータスで注文を更新します。
Answer: D