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NEW QUESTION: 1
An application receives JSON data in the following format:
The application includes the following code segment. (Line numbers are included for reference only.)
You need to ensure that the ConvertToName() method returns the JSON input string as a Name object.
Which code segment should you insert at line 10?
A. Return ser.Desenalize (json, typeof(Name));
B. Return ser.Deserialize<Name>(json);
C. Return ser.ConvertToType (json, typeof (Name));
D. Return ser.ConvertToType<Name>(json);
Answer: B
NEW QUESTION: 2
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine einzigartige Lösung, die die angegebenen Ziele erreichen kann. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie haben ein Data Warehouse, in dem Verkaufsdaten gespeichert sind. Eine Faktentabelle enthält 100 Millionen Zeilen.
Sie müssen den Speicherbedarf für das Data Warehouse reduzieren.
Sie müssen eine Lösung implementieren, die spaltenbasierten Speicher verwendet und Echtzeitanalysen für die betriebliche Arbeitslast bereitstellt.
Lösung: Sie entfernen alle Clustered-Indizes und laden die Tabelle zur Verarbeitung.
Erfüllt die Lösung das Ziel?
A. Nein
B. Ja
Answer: A
Explanation:
Explanation
Clustered columnstore tables offer both the highest level of data compression as well as the best overall query performance. Clustered columnstore tables will generally outperform clustered index or heap tables and are usually the best choice for large tables. For these reasons, clustered columnstore is the best place to start when you are unsure of how to index your table.
Note: Dimensional tables can be used to reduce the size of fact tables.
Dimension tables contain attribute data that might change but usually changes infrequently. For example, a customer's name and address are stored in a dimension table and updated only when the customer's profile changes. To minimize the size of a large fact table, the customer's name and address do not need to be in every row of a fact table. Instead, the fact table and the dimension table can share a customer ID. A query can join the two tables to associate a customer's profile and transactions.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-overview
NEW QUESTION: 3
A. IBM Spectrum Compute
B. IBM Spectrum Control
C. IBM Spectrum Protect
D. IBM Spectrum Scale
Answer: B
Explanation:
Explanation
Reference https://www.ibm.com/us-en/marketplace/spectrum-control
NEW QUESTION: 4
Reviewing internal audit report drafts with clients is:
1. Required according to the Standards.
2. A form of courtesy.
3. Ethically mandated.
4. A form of validation.
A. 1 and 2 only
B. 2 and 4 only
C. 2 and 3 only
D. 3 and 4 only
Answer: B